Above all, I greatly appreciate your efforts of making these videos. As a second language student in U.S.. I do have difficulties in learning some stuff in the class. However, I carefully watched your videos. They helped me a lot. You contributed a lot for the ones who are willing to learn things but have varites obstacles. By the way, you are a genius in interpreting academic things. I'm your big fan!
Amir Salehi Wow! Thank you so much for your kind words.Hopefully you will like, share, subscribe, If you get a chance could you please like our FB page. www.FaceBook.Com/PartyMoreStudyLess It will help others find the videos.
GREAT. Thank you for taking the time to really explain each step. There are many of us taking advanced statistics as part of a social science program, who are NOT usually able to think *this way*. Ok, maybe it's just me, but still. Thanks.
Oh, really great presentation. Earlier, I was confused to see that figure in SPSS output. I didn't realize that meaning at that time and how that figure came. Now I clearly understand the coefficients. Thanks, @statisticsfun.
+Catherine Plichta Happy that you are no longer clueless. If you get a chance, then like, share the videos. This will help others find the videos too. (www.FaceBook.Com/partymorestudyless)
You explained how to get them, but you did not explain what they mean. You did not interpret them. How to interpret the t-value or standard error? How would we explain the results??
t-value is the amount of standard deviations the score is from the mean of a t-distribution. the standard error is, in this case, the standard deviation.
This video has helped me a lot. Thanks! I was having trouble interpreting some of my results and couldn't ask any T.A's as the assignment was last minute. This was for STATS 278. Again, Thank you!
Evan, that is a good question. This video is part of a larger playlist (the 2nd video in the playlist). There is a link to the playlist in the video description and I discuss how the coefficients are calculated in that first video. Make sense?
Great observation. I am actually treating the constant as a variable as well. This is why I am using n-3 instead of n-k-1 where k is absences and SAT scores.
Hello! Just wanted to thank you and say that I think you are incredibly good at explaining. Thank you for the videos and hope that you will not stop sharing your knowledge. Good Luck in everything you do!
Love this clear explanation on SPSS output! However, I am a little confused about how to get variables standardized when generating standardized coefficients beta. The variable should get standardized by subtracting the mean from the variable and dividing by its standard deviation. But you explained that the variable is standardized by dividing standard deviation directly from each value. Am I wrong? Thank you.
Although much of it is not necessary for my market research module from a managerial point of view (even being postgrad); however, I really appreciate such a good, succinct explanation of the entirety of the tables. Now, I can know what each value means, even if just for my own curiosity and personal knowledge. Great tutorial. :)
Thanks, I don't have anything on discriminant analysis and logistic regression just yet. Make sure you like MyBookSucks on Facebook (see video description for link). This will help others find the educational videos.
Very very clear and down to basic student friendly. Although not what I was searching for but I understood this perfectly - straightforward. I was actually looking for how to interpret the coefficients with LN or LOG independent variables with LN or LOG dependent variables.
Sir !!! Great to see your videos . All simple terms and easy understanding of basics !!! Pray the almighty to give u long healthy happy life and preach your students as long as possible !!! Just a doubt grades is an dependent variable !!! But in Y axis it’s interpreted as Independent variable . Can you clear this sir !!
thanks, i really love ur explanation. i have one question. what does the negative beta value refers. in ur example the vale (-.527). is it shows any direction?
This is such a great video!! Thank you so much for sharing. It helps me a lot for surviving from the statistic and other related courses in the school.
so, so helpful. i was very lost on my AP stats homework and this video along with the ones on model summary and ANOVA made everything make sense thank you
Thank you for sharing your knowledge in such a creative way. It was very easy to follow what you were saying. You speak very clearly and you the concepts seem simple.
Helén Ingrid Andreassen How sweet you are! I love you too and all my youtube students. If you get a chance like, share the videos. It helps get the word out. Liking our FB page helps too. www.FaceBook.Com/PartyMoreStudyLess
Thank you for your video! So, in order to understand which independent variable has the highest impact on the dependent variable, should I then just look at which independent variable has the highest B-value? Or did I understand that wrong?
thank you so much for all your great learning videos. I have a question. If the P-value for constant is 0.6 (greater then 0.05) but p-values for other independent variables are less than 0.05 what should I do? can I use this regression equation or not? thank you in advance.
Awesome video. Quick question: why are you using n-#of variables (3) for your degrees of freedom. I thought that for a multiple regression the df=n-k-1 ? Or is that for testing the effect of a variable to the model as opposed to the standard error?
Gm L You are very welcome. Hopefully you will like, share, subscribe, If you get a chance could you please like our FB page. www.FaceBook.Com/PartyMoreStudyLess It will help others find the videos.
its great, i have a question if you please explain it in detail? what standardized coefficient beta shows? any effect ts of these coefficients are required to explain? if yes then how we will intemperate this? how we can calculate stander error?
Great video! Can you please let me know what tools you used to edit this video? I would love to create presentations this eye appealing for my classes. Thanks!
Joana, Thanks for compliment! I don't have all those files centrally located yet and youtube does not allow me to add attachments or links in comments. I would be happy to share tables with you tho. If you post a message on the Facebook page, then I can respond with an attachment, the pdf file and SPSS file if you want. You can see a link to the FB page in this video description. I would appreciate it if you would like the FB page while you are there.
thank you! statistics fun I watched this video for more than 10 times, and other related videos as well, and very useful and each time i watch i have different understanding. thank you so much... share the knowledeg share the love. look forward to your new videos!
Good Day, Sir ur lecture is very helpful and good explained. It is my request to please provide a lecture on how to apply Multinomial Logistic Regression in SPSS and how to read the results of Multinomial logistic regression in SPSS. I will be waiting for your assistance.
I don't really understand the last part - how you got the standard coefficients. You perform a regression with Beta? There is no value for the constant, same as on the output I have from my class, but I'm very confused now. Thank you for the videos, though, they're much more helpful than my prof.
HI, as there are many comments asking what's the null hypothesis, based on stats.idre.ucla.edu/spss/output/regression-analysis/ i found the null hypothesis is "Coefficient value is zero". ergo, the variable does not effect the dependant value (y) or estimated grade in this video. if null hypothesis is rejected, the coefficient value is significantly different from ZERO. Meaning the coefficient is not zero and would effect significantly the estimated grade value (y)
Hey thank you for your tutorial, i have an exam tomorrow and this is of great help! I had one question though, I understand the calculations behind standardizing the Beta. But, what's the logic behind it? Why do we find it necessary to do that? Your answer would be of great help!
just a guess (im new at this) i have a data sat with monthly income values and b values are really big numbers but standardized ones are between 0 and 1. i guess if you don't want to deal with big numbers, you use standardized versions? it's also easier to make sense of it comparing to other data sets.
I really like this video.................. it was amazing, I have one question. If my values show multi collinearity and exclude some variable, but in my case i have to know the coefficient of it, how can i do this, because in my case the coefficients it exclude. one more question, what is the purpose of "Constant", If we only want coefficient to satisfy equation without any constant value, is there any way out? X+Y+Z=123 (Equation) i need coefficients to satisfy my equation for X,Y and Z. in my case it is excluding one variable, and how can i use the constant value in this case when i need only values of coefficients?
Somnun S Thanks for that. Hopefully you will like, share, subscribe, If you get a chance could you please like our FB page. www.FaceBook.Com/PartyMoreStudyLess It will help others find the videos.
Thank you for explaining so wonderfully. It did really helped. I have a doubt that at 6:43, you mentioned we reject the null hypothesis, can you please tell what is the null hypothesis taken ?
On one of the graphs, you label Grades as the independent variable, but if grades is the variable being predicted by absences and SAT scores, would that not make it the dependent variable?
What is the minimum degrees of freedom that is needed for the regression to make sense? Let's say there is a sample of 40 and 39 independant variables that we are testing on a single dependant variable, would this work or would a larger sample be needed in this case for the regression to be reliable?
Does a higher mod value of std beta coefficient mean it is more important than the smaller one. For ex. in this case, SAT score has coeff of 0.558 vs. attendance of 0.527. SO improving SAT is better than increasing Attendance?
Thanks for this video. I'm stuck with interpreting my multiple regression. I am getting a period where I should see the Adjusted R square, Std. Error of the Estimate, F value and Sig. value in my ANOVA table, and also for all my t and Sig. values in my coefficients table. When I click into the values, I get the same huge negative value for all these points. Can you let me know what this means?
Hi Mate, nice job. But I have a question here. I can't quite grasp how you calculate the standard error for each coefficient (intercept i.e) . Any help will be appreciated. cheers!
I use kendal ranking method to show spatial pattern of respiratory diseases then use composite index to find the disease intensity. Sir i want know that i show high intensity to those with higher scores and vice versa am i correct, as in development we indicate low scores with high development and vice versa. Please enlighten me on this
Morgan Selstø I plan too keep it up. Thanks for your kind words. Hopefully you will like, share, subscribe, If you get a chance could you please like our FB page. www.FaceBook.Com/PartyMoreStudyLess It will help others find the videos.
I start the discussion on standardized coefficients at about 7:30 in this video. The standardized coefficients are not used that much in practice and it tries to put all the variables on the same scale. Standardizing is very similar to a z score (or normalized) score -- not exactly the same but similar. The objective of standardization and normalization are the same though... make sense?
+Deborah Fasan You are very welcome. If you get a chance like, share the videos this will help others find the videos (www.Facebook.Com/PartyMoreStudyLess)
I've watched so many videos trying to learn what all these output tables mean, and this is the first one that actually explains them well! Thank you!
Above all, I greatly appreciate your efforts of making these videos. As a second language student in U.S.. I do have difficulties in learning some stuff in the class. However, I carefully watched your videos. They helped me a lot. You contributed a lot for the ones who are willing to learn things but have varites obstacles. By the way, you are a genius in interpreting academic things. I'm your big fan!
I hope this does not sound weird but the voice-over is really calming and I love the soothing visual explanation.
This video was the greatest one among all others which I have searched for regression output interpretation. Thank you.
Amir Salehi Wow! Thank you so much for your kind words.Hopefully you will like, share, subscribe, If you get a chance could you please like our FB page. www.FaceBook.Com/PartyMoreStudyLess
It will help others find the videos.
Isn't the standardised variable the dependent variable minus the mean divided by the standard deviation?
This is by FAR the best explanation series I've ever seen. Thank you so much for the break down
GREAT. Thank you for taking the time to really explain each step. There are many of us taking advanced statistics as part of a social science program, who are NOT usually able to think *this way*. Ok, maybe it's just me, but still. Thanks.
You are the best teacher in the world.
Oh, really great presentation. Earlier, I was confused to see that figure in SPSS output. I didn't realize that meaning at that time and how that figure came. Now I clearly understand the coefficients. Thanks, @statisticsfun.
Thank you so much! This saved me because I was clueless before I saw this.... Thank you for explaining the calculations at length.
+Catherine Plichta Happy that you are no longer clueless. If you get a chance, then like, share the videos. This will help others find the videos too. (www.FaceBook.Com/partymorestudyless)
I already shared with some of the other kids in my college class!
You explained how to get them, but you did not explain what they mean. You did not interpret them. How to interpret the t-value or standard error? How would we explain the results??
Very important question. statisticsfun, patiently waiting for your clarification
I completely agree Jenn. I was patiently waiting on how these results would be interpreted and then the video ended.
t-value is the amount of standard deviations the score is from the mean of a t-distribution. the standard error is, in this case, the standard deviation.
true
the greatest and the most helpful tool to learn econometrics. This saved me!
This video has helped me a lot. Thanks! I was having trouble interpreting some of my results and couldn't ask any T.A's as the assignment was last minute. This was for STATS 278.
Again, Thank you!
You have my complete respect and admiration for such an amazing work, Sir! Thank you for sharing this knowledge with such grace and simplicity.
This is the best video of all the statistics video that I have seen .thank you
i was able to pass my stats class because of your videos. thanks!
Who on earth disliked that video? Great stuff! Thank you so much!
Evan, that is a good question. This video is part of a larger playlist (the 2nd video in the playlist). There is a link to the playlist in the video description and I discuss how the coefficients are calculated in that first video. Make sense?
Great observation. I am actually treating the constant as a variable as well. This is why I am using n-3 instead of n-k-1 where k is absences and SAT scores.
Very well defined .... Now i clearly understand how to write explanation in thesis.
I found this extremely helpful since I am switching from eviews to spss. Thank you!
Hello! Just wanted to thank you and say that I think you are incredibly good at explaining. Thank you for the videos and hope that you will not stop sharing your knowledge. Good Luck in everything you do!
Thank you for your compliment. I don't have anything on LN or LOG at this time, but it is something I plan to add.
Amazingly well explained, the level of detail is far superior to that of other similar videos
Love this clear explanation on SPSS output! However, I am a little confused about how to get variables standardized when generating standardized coefficients beta. The variable should get standardized by subtracting the mean from the variable and dividing by its standard deviation. But you explained that the variable is standardized by dividing standard deviation directly from each value. Am I wrong? Thank you.
Although much of it is not necessary for my market research module from a managerial point of view (even being postgrad); however, I really appreciate such a good, succinct explanation of the entirety of the tables. Now, I can know what each value means, even if just for my own curiosity and personal knowledge. Great tutorial. :)
Thank you so much sir.....I could understand the table in detail clearly and was able to visualise what's and why's in the result.....
Best explanatory video I've seen in a while ! Thanks!
Thanks, I don't have anything on discriminant analysis and logistic regression just yet. Make sure you like MyBookSucks on Facebook (see video description for link). This will help others find the educational videos.
+statisticsfun thank you very much, your lectures are more clearly then usually teachers doing in the lecture.
Good question. The -.527 means there is a negative relationship between absences and grades. The more absences a student has the lower the grade.
(Constant) -1.146 0.158 -7.265 0.000
i got negative constant value however my three variables t-values are 5 10 16 what does it implicate ?
Hi, great channel. These videos are the best, I've learned much more in 30min than in half a semester of statistics classes.
Very very clear and down to basic student friendly. Although not what I was searching for but I understood this perfectly - straightforward. I was actually looking for how to interpret the coefficients with LN or LOG independent variables with LN or LOG dependent variables.
Sir !!! Great to see your videos . All simple terms and easy understanding of basics !!! Pray the almighty to give u long healthy happy life and preach your students as long as possible !!! Just a doubt grades is an dependent variable !!! But in Y axis it’s interpreted as Independent variable . Can you clear this sir !!
thanks, i really love ur explanation. i have one question. what does the negative beta value refers. in ur example the vale (-.527). is it shows any direction?
This is such a great video!! Thank you so much for sharing. It helps me a lot for surviving from the statistic and other related courses in the school.
fantastically produced and edited
so, so helpful. i was very lost on my AP stats homework and this video along with the ones on model summary and ANOVA made everything make sense thank you
Veryy well explained. Could you please share, how you came up with the p value?
Excellent Lecture.I was really curious on which software u used for the coloring and animation in this video.I would love to know.Thanks
Saved my exam man! Lots of love from Norway!
Thank you for sharing your knowledge in such a creative way. It was very easy to follow what you were saying. You speak very clearly and you the concepts seem simple.
I love you. You are saving me and my grades in statistics.
Helén Ingrid Andreassen How sweet you are! I love you too and all my youtube students. If you get a chance like, share the videos. It helps get the word out. Liking our FB page helps too. www.FaceBook.Com/PartyMoreStudyLess
Great video! Much better than the textbook explains. Thank you!
I really have to praise and thank you a thousand times for this very instructive and pedagogic. I did learn something and keep up the good work.
thank you so much. I am trying to write the result of my research and your video helped in interpreting the data. more blessings!
The best vedio about regression on fb
Thank you for your video! So, in order to understand which independent variable has the highest impact on the dependent variable, should I then just look at which independent variable has the highest B-value? Or did I understand that wrong?
thank you so much for all your great learning videos. I have a question. If the P-value for constant is 0.6 (greater then 0.05) but p-values for other independent variables are less than 0.05 what should I do? can I use this regression equation or not? thank you in advance.
Awesome video. Quick question: why are you using n-#of variables (3) for your degrees of freedom. I thought that for a multiple regression the df=n-k-1 ? Or is that for testing the effect of a variable to the model as opposed to the standard error?
thank you very much, had a hard time finding how to calculate coef with this table.. finally know it is this simple..
Gm L You are very welcome. Hopefully you will like, share, subscribe, If you get a chance could you please like our FB page. www.FaceBook.Com/PartyMoreStudyLess
It will help others find the videos.
Very clear and concise explanation. Thanks a lot for the video. Do you have video reading the discriminant analysis and logistic regression?
its great, i have a question if you please explain it in detail? what standardized coefficient beta shows? any effect ts of these coefficients are required to explain? if yes then how we will intemperate this? how we can calculate stander error?
Great video! Can you please let me know what tools you used to edit this video? I would love to create presentations this eye appealing for my classes. Thanks!
Joana, Thanks for compliment!
I don't have all those files centrally located yet and youtube does not allow me to add attachments or links in comments. I would be happy to share tables with you tho. If you post a message on the Facebook page, then I can respond with an attachment, the pdf file and SPSS file if you want. You can see a link to the FB page in this video description.
I would appreciate it if you would like the FB page while you are there.
Great video!
Might I ask what software you used to produce video?
u r amazing! this is so much better than my stats lecturer! thank u!!
This video is best in all videos available on youtube for Regression Analysis Coefficient table. (Y)
Fr this is the best asmr out there
thank you! statistics fun I watched this video for more than 10 times, and other related videos as well, and very useful and each time i watch i have different understanding. thank you so much... share the knowledeg share the love. look forward to your new videos!
Good Day, Sir ur lecture is very helpful and good explained. It is my request to please provide a lecture on how to apply Multinomial Logistic Regression in SPSS and how to read the results of Multinomial logistic regression in SPSS. I will be waiting for your assistance.
Irfan Ahmed Memon Good suggestion and I will add some videos on multinomial logistic regression in SPSS and other methods.
Thanks Sir, It will be really helpful for me
I don't really understand the last part - how you got the standard coefficients. You perform a regression with Beta? There is no value for the constant, same as on the output I have from my class, but I'm very confused now. Thank you for the videos, though, they're much more helpful than my prof.
Thanks. It was useful. And explained understandably.
thank you very much, greeting from chinese student in Malaysia
HI, as there are many comments asking what's the null hypothesis, based on stats.idre.ucla.edu/spss/output/regression-analysis/
i found the null hypothesis is "Coefficient value is zero". ergo, the variable does not effect the dependant value (y) or estimated grade in this video.
if null hypothesis is rejected, the coefficient value is significantly different from ZERO. Meaning the coefficient is not zero and would effect significantly the estimated grade value (y)
Hey thank you for your tutorial, i have an exam tomorrow and this is of great help! I had one question though, I understand the calculations behind standardizing the Beta. But, what's the logic behind it? Why do we find it necessary to do that? Your answer would be of great help!
same as me . I have an exam tomorrow and this is really helpful
just a guess (im new at this) i have a data sat with monthly income values and b values are really big numbers but standardized ones are between 0 and 1. i guess if you don't want to deal with big numbers, you use standardized versions? it's also easier to make sense of it comparing to other data sets.
I really like this video..................
it was amazing,
I have one question.
If my values show multi collinearity and exclude some variable, but in my case i have to know the coefficient of it, how can i do this, because in my case the coefficients it exclude.
one more question, what is the purpose of "Constant", If we only want coefficient to satisfy equation without any constant value, is there any way out?
X+Y+Z=123 (Equation)
i need coefficients to satisfy my equation for X,Y and Z.
in my case it is excluding one variable, and how can i use the constant value in this case when i need only values of coefficients?
Really liked this video! What would our null hypothesis be in this case ? (I'm assuming it'll be that all coeffs equal zero)
Best Teacher!!
Somnun S Thanks for that. Hopefully you will like, share, subscribe, If you get a chance could you please like our FB page. www.FaceBook.Com/PartyMoreStudyLess
It will help others find the videos.
Hey great vid. Can this logic as well as those in your other videos be extended to a non linear regression output?
Thank you for explaining so wonderfully. It did really helped. I have a doubt that at 6:43, you mentioned we reject the null hypothesis, can you please tell what is the null hypothesis taken ?
I have the same question.
thanks dear, it was very good. how can i get new videos in advanced spss analysis such as moderating role and other?
On one of the graphs, you label Grades as the independent variable, but if grades is the variable being predicted by absences and SAT scores, would that not make it the dependent variable?
What is the minimum degrees of freedom that is needed for the regression to make sense? Let's say there is a sample of 40 and 39 independant variables that we are testing on a single dependant variable, would this work or would a larger sample be needed in this case for the regression to be reliable?
Nice presentation
Does a higher mod value of std beta coefficient mean it is more important than the smaller one. For ex. in this case, SAT score has coeff of 0.558 vs. attendance of 0.527. SO improving SAT is better than increasing Attendance?
Thanks for this video. I'm stuck with interpreting my multiple regression. I am getting a period where I should see the Adjusted R square, Std. Error of the Estimate, F value and Sig. value in my ANOVA table, and also for all my t and Sig. values in my coefficients table. When I click into the values, I get the same huge negative value for all these points. Can you let me know what this means?
Very nice animation! Well explained! Thank you so much, Sir!!:)
Hi dear, It is excellent explanation.
Hari krishna Surarchith Thanks!
Hi Mate, nice job.
But I have a question here. I can't quite grasp how you calculate the standard error for each coefficient (intercept i.e) . Any help will be appreciated. cheers!
I use kendal ranking method to show spatial pattern of respiratory diseases then use composite index to find the disease intensity. Sir i want know that i show high intensity to those with higher scores and vice versa am i correct, as in development we indicate low scores with high development and vice versa. Please enlighten me on this
You are great,
Your video very interesting,
the video answered a lot of my questions.
Thank You
yasir hilal Nice to hear my videos are helping. I appreciate it that you took the time to write to me.
Very helpful indeed! ....Good to devour
We have GOLD right here !!!
Thanks for this, man. It helps a lot! Keep doing what you're doing!
Morgan Selstø I plan too keep it up. Thanks for your kind words. Hopefully you will like, share, subscribe, If you get a chance could you please like our FB page. www.FaceBook.Com/PartyMoreStudyLess
It will help others find the videos.
Thaannkk youuuu.....so clear and useful
You rock. Thank you Sir. Well designed video, you put love and hard work into it.
Great to hear! Make sure you like MyBookSucks on FaceBook (see link in video description). This will help other students find the educational videos).
Thank you so much for the thoughtful step by step explanation!!
I start the discussion on standardized coefficients at about 7:30 in this video. The standardized coefficients are not used that much in practice and it tries to put all the variables on the same scale. Standardizing is very similar to a z score (or normalized) score -- not exactly the same but similar. The objective of standardization and normalization are the same though... make sense?
For standardized shouldnt mean be subtracted from the variable values and then divided by SD?
Is this a linear regression or a multiple regression?
Excuse me sir, I don't understand how did you get the significant value. I would be glad if you can give me a prompt reply.. Thank you so much
Hello Sir,
I would like to know with which software you do your presentations ??
Thanks
denthsaber I use a variety of software to create the videos including Adobe Final Cut, Illustrator, Flash, Garage band and a few others.
This video is truly amazing!!!! Thanks a lot for sharing
+Deborah Fasan You are very welcome. If you get a chance like, share the videos this will help others find the videos (www.Facebook.Com/PartyMoreStudyLess)
very clearly expained, thx alot !
thank u very much for your support. this is relay good video
I put off my adblocker for you, Thanks for this video!!
Thanks Mr.Professor
How do you know the proportion of each predictor (independent variable) contribute to the dependent variable?
Very well explained ! Great video !! Thanks !