Hours of wandering on youtube and it took you 5 min to explain it ALL. Thank you. You are a life saver. May God bless you. So glad to discover your videos.
Dr. Berstein, your video is a fantastic teaching and learning tool. I have looked at several of these and you are in a "class" by yourself. Your explanations are clear, and you connected the dots, making it easy to visualize the scenario. I look forward to seeing more of your videos.
@Nothingface78, the F value comes from the table itself. At 2:39, look to the table below the "Model Summary" Table. It shows a table called "ANOVA." Look to the second to last column; that says F.
Good gob, and well explained. I have comment on this, simple linear regression we don't report the adjusted R square, we report R square. if we run multiple linear regression ( more than one predictor) we report adjusted R square.
Thank you Bernstein for the excellent explanation. Do we present the unstandardised B value or the standardised beta value with the 95% CI in publications?
I love the explanation, thanks! Just one question: how is the adjusted R2 value calculated in an univariate analysis? I understand the value in the case of multivariate analyses but Is it correct to use this value in an univariate analysis? I am unable to find an explanation for this - could you explain please? Thanks in advance!
Superb Effort👍👍 Thumbs up!! I have really got so much help in clearing my concepts regarding Regression by your this video..👌 Despite of watching many other videos 😐 Stay blessed Gentelman..
@Nothingface78, There are no critical values given in SPSS. SPSS automatically compares the test statistic (the F observed) to an F critical and then gives you a significance value (in this vase, p=.029). That value is the probability of the line being a good predictor of Y by chance alone. If you HAD to have a critical value, you'd need to look to an F table and look up df(1,16).
Hello! I would like to ask if you are able to recommend a related video to Hierarchical Regression? Regression is a topic I am struggling with and not sure where to go in learning more about it for an intermediate stats course I am currently taking. Please and Thank You!!
Thanks for your video..very nice. I have a question, if I want to report the slope, how to do that? I do understand where is slope reported in the table as a number, but how to report it in the text? Or should it be reported as it appears in the equation...???
Hello, your video is one of the best and i will be able to complete my dissertation analysis thanks to you. However, i have got a question. Well, if the slope of the level of rejection sensitivity was negative (-.306), would that still mean that it is a good predictor of amount of depressive symptoms. As such when i myself have done my regression well the sig in anova is 0.19 but still in the coefficient box my constant (slope) is negative. So how do i interpret it? Thank you.
Kreshila Kats Hi! Glad it helped. So your slope (-.306) is negative meaning only that as one factor goes up, the other goes down. Are you conducting a simple linear regression or a multiple regression? If it is a simple linear, then the p-value for the regression coefficient should be the same as for the overall ANOVA model. If you're running a multiple regression, they may be different. If you're overall ANOVA is significant, then it is likely this single predictor is also significant, but you'd need to check the output to make sure the p-value next to the coefficient is significant. Watch the video from about 3:45 on and you'll see how to look for the p-value for the regression coefficient. ~Dr. B
bernstmj Hello Dr B, I am conducting a simple linear regression and the slope is a negative one even though the p value is positive and is the same as that of Anova model.Does that means that my predictor does not predict my dependent variable? Kindly see below:
Qualification
-.044
.019
-.235
-2.390
.019
Could you please advise if i should not put that in my dissertation as the slope is negative? Thank you for your great help.
Kreshila Kats The p-value will always be positive and always the same as in the ANOVA. If the p-value is less than .05, it means the regression was significant.
Hi, what does it mean if the ANOVA table reports the model to be significant but the individual coefficient variables are reported not to be significant?
in simple linear regression if ANOVA table shows the model is significant, it means since you have one predictor that predicator will be significance, and if you run multiple regression (more than one predictors) ANOVA table shows significant if one of the variables is significant, ANOVA table does not tell you which variable is significant, as long as one variable is significant ANOVA table will show the model is significant regardless individual variable significant, but you need to see individual variable to see their significance level and make conclusion based its significance level .
I have a question. Suppose I want to measure the effect of A and B on C, what statistical technique should I use? Secondly, you are only using one predictor variable, suppose if I have two predictor variables and want to measure their collective effects, what regression analysis should I use? Kindly help asap
Hello sir, Great explanation! However I have a problem with what you say around 03:45. In my dataset B is displayed as 00. How can I do the least square regression calculation? If there is no workaround, i will need to calculate myself I guess (r*(DV std. dev/IDV std. dev). I wish I could just somehow display the number within PSPP/SPSS
How to interpreate different variables with one dependant variables for example for indipendentvariable age,sex,experiance,level of education and the dependent variable is e banking user?
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I cannot believe that this video was from 11 years ago! This is the clearest explanation of a simple regression I've ever learned! huge thanks!!!
Thank you so much!!!! I have watched 100 Videos, talked to even more People and just didnt get it. This Video helped me so much!
Best channel! Short, concise, and so well explained. Total lifesaver, thank you!!
this video does a good job of explaining very concisely linear regression in just under 6 minutes. Great job, thanks.
Hours of wandering on youtube and it took you 5 min to explain it ALL. Thank you. You are a life saver. May God bless you. So glad to discover your videos.
Instructions clearly given.very helpful video
Very comprehensive and on-point explanation! OMG I love the way you teach!! Thank you so much sir.. ❤️
Very brief step by step .. and so awesome explanation .. SPSS never been this easy before .. thank you so much~~
I don’t know why, but you explained it just how I wanted it to be explained. Thank you so much. You got a new student.
this video was quick and easy, i actually understood what you were saying and im so grateful!! thank you!!
Dr. Berstein, your video is a fantastic teaching and learning tool. I have looked at several of these and you are in a "class" by yourself. Your explanations are clear, and you connected the dots, making it easy to visualize the scenario. I look forward to seeing more of your videos.
Thank you so much!
One of the best explanation I hv found. Thanks tons
Thank you very much ! This video helped me to do my exercises.
thank you. From the bottom of my heart
Thanks a lot. You've clearly explain this model. God bless you
Thank you so much, this video has excellent explanation
Great video, good teacher
great video simple and straight forward to understand. Thanks Bro!!!
This is really great! Might you consider making a video for a multiple linear regression and/or logistic regression?
thank you so much! you are such a big help! God bless you!
thank you soo much
i am new to the field of reseach i found this video very easy to understand
thank you once again , keep the good work up
@Nothingface78, the F value comes from the table itself. At 2:39, look to the table below the "Model Summary" Table. It shows a table called "ANOVA." Look to the second to last column; that says F.
Such a great video ! Thanks so much :)
i swear this is the easiest to follow video. thank you so much!
I'm happy to help!
This is the best explanation out there, have been going through videos for hours but nothing made sense except this one. THANK YOU!!!
What explanation !! Thank you
This is really well explained. Thank you
thannk u God bless you, your videos were very helpful bro :)
Good gob, and well explained. I have comment on this, simple linear regression we don't report the adjusted R square, we report R square. if we run multiple linear regression ( more than one predictor) we report adjusted R square.
Thank you very much, it was so easy to understand!!
Hello, i really liked ur video it was very helpful and clear as well u taught in a very simple way Gob bless you
Thank you Bernstein for the excellent explanation. Do we present the unstandardised B value or the standardised beta value with the 95% CI in publications?
I liked the window with the comments, well explained
I love the explanation, thanks! Just one question: how is the adjusted R2 value calculated in an univariate analysis? I understand the value in the case of multivariate analyses but Is it correct to use this value in an univariate analysis? I am unable to find an explanation for this - could you explain please? Thanks in advance!
Explanation is perfect and also the pronunciation is very clear
Trying to get the hang of this science! Thanks
simple, clear, nice video, thanks
easy to follow. thank you!
that was quite good.
Superb Effort👍👍
Thumbs up!!
I have really got so much help in clearing my concepts regarding Regression by your this video..👌
Despite of watching many other videos 😐
Stay blessed Gentelman..
Thanks a lot!
nice man nice. Professor made this way harder
@Nothingface78, There are no critical values given in SPSS. SPSS automatically compares the test statistic (the F observed) to an F critical and then gives you a significance value (in this vase, p=.029). That value is the probability of the line being a good predictor of Y by chance alone. If you HAD to have a critical value, you'd need to look to an F table and look up df(1,16).
Hello! I would like to ask if you are able to recommend a related video to Hierarchical Regression? Regression is a topic I am struggling with and not sure where to go in learning more about it for an intermediate stats course I am currently taking. Please and Thank You!!
Fantastic. Merci
We have to use GPower in the class to do a pirori sample size for simple linear regression, which test should be used?
Thanks for your video..very nice. I have a question, if I want to report the slope, how to do that? I do understand where is slope reported in the table as a number, but how to report it in the text? Or should it be reported as it appears in the equation...???
Wow I’ve watched so much videos your explanation was amazing thank you
What does it mean being significant here, state the null hypothesis for f test in anova?
THANK YOU SO MUCH
Can regression be done when one has a large number of DEPENDENT VARIABLES and one Independent Variable (treatment groups) in an experimental study?
The best video
nice one
keep it up
Hello, your video is one of the best and i will be able to complete my dissertation analysis thanks to you. However, i have got a question. Well, if the slope of the level of rejection sensitivity was negative (-.306), would that still mean that it is a good predictor of amount of depressive symptoms. As such when i myself have done my regression well the sig in anova is 0.19 but still in the coefficient box my constant (slope) is negative. So how do i interpret it?
Thank you.
Kreshila Kats Hi! Glad it helped. So your slope (-.306) is negative meaning only that as one factor goes up, the other goes down. Are you conducting a simple linear regression or a multiple regression? If it is a simple linear, then the p-value for the regression coefficient should be the same as for the overall ANOVA model. If you're running a multiple regression, they may be different.
If you're overall ANOVA is significant, then it is likely this single predictor is also significant, but you'd need to check the output to make sure the p-value next to the coefficient is significant. Watch the video from about 3:45 on and you'll see how to look for the p-value for the regression coefficient.
~Dr. B
bernstmj Hello Dr B,
I am conducting a simple linear regression and the slope is a negative one even though the p value is positive and is the same as that of Anova model.Does that means that my predictor does not predict my dependent variable?
Kindly see below:
Qualification
-.044
.019
-.235
-2.390
.019
Could you please advise if i should not put that in my dissertation as the slope is negative?
Thank you for your great help.
Kreshila Kats The p-value will always be positive and always the same as in the ANOVA. If the p-value is less than .05, it means the regression was significant.
life. savior.
Hi, what does it mean if the ANOVA table reports the model to be significant but the individual coefficient variables are reported not to be significant?
in simple linear regression if ANOVA table shows the model is significant, it means since you have one predictor that predicator will be significance, and if you run multiple regression (more than one predictors) ANOVA table shows significant if one of the variables is significant, ANOVA table does not tell you which variable is significant, as long as one variable is significant ANOVA table will show the model is significant regardless individual variable significant, but you need to see individual variable to see their significance level and make conclusion based its significance level .
Very helpful
What does it mean when the constant has a significance of .067?
I have the same question.
Hi Sir, why did you consider the Adjusted R² and not the R²?
how can i forecast 1 year using this linear regression in spss. thankyou in advance
How did you get 5.759 for F? And how do I find the critical values?
excellent
Great
I have a question. Suppose I want to measure the effect of A and B on C, what statistical technique should I use? Secondly, you are only using one predictor variable, suppose if I have two predictor variables and want to measure their collective effects, what regression analysis should I use? Kindly help asap
I think you need to use multiple regression. This video only covers linear regression. Sorry if im mistaken
Hi Dr. Berstein, what if the sig. in the anova is 0.000. Does it mean null hypothesis is rejected?
Syahmi Ez Yep. Anything less than .05 is significant. When you see the Sig value as .000 we write it as p
thanks Dr. Berstein!
Hello sir, Great explanation! However I have a problem with what you say around 03:45. In my dataset B is displayed as 00. How can I do the least square regression calculation? If there is no workaround, i will need to calculate myself I guess (r*(DV std. dev/IDV std. dev). I wish I could just somehow display the number within PSPP/SPSS
How to interpreate different variables with one dependant variables for example for indipendentvariable age,sex,experiance,level of education and the dependent variable is e banking user?
What to do when i have 5 more dependent variables and one independent variable
THANK U
Please also Make video on process macros
Helpful tutorial... More grease to ur elbow
Sir what is called 0.05 value in statistically sir?
What to do when 5 dependent variables and 1 independent variable
I think t independent test applied
Good video, bro