What does unique predictor mean? Can I also know the individual correlation of the X variables to the Y variables? And I have known confounders (from previous study) but I am not sure wether I should put this in the analysis as well as X variables?
hi, sir. how do i use correlation for a relationship of SCIENTIFIC ATTITUDE (X1) and LEARNING INDEPENDENCY (X2) with SCIENCE PROCESS SKILL (Y). should i use regression? the hypotheses on my research is to know the simultant Relationships of the 2 independent variabels with 1 dependent variabels.
ANOVA significance is the significance of the overall model. Look at the sig (p) value for the individual predictors (X variables) under the "coefficients" table. It has the t value from the t-test next to it. for a moderator model, you must multiply X1 and X2 and then enter X1, X2, and X1*X2 all in the same model and look at the sig of the X1*X2 variable. you must only look at the sig of X1 and X2 when X1*X2 is NOT in the model. Once you add X1*X2 into the model you can only look at sig of X1*X2.
How do i use correlation to find out the relationshio between productivity and profitability. In which I have 9 variables under employee productivity and having the same number of varuables in profitability. In another one, having 5 variables under capital productivity and 9 number pf variables under profitability. How to do correlation? Is it okay to go with correlation? Or any other methods?
You can use all of your productivity variables to predict profitability, but you have to use only one indicator of profitability at a time. In the first case you will have 9 models each with the same predictors and the 9 different outcomes of profitability taken one at a time in different models. Then you will have 9 different models with 5 predictors each. A separate model for each outcome is what is needed. Hope that helps.
Hey , thx for this video ! Interesting! I´m looking for a forecasting method that would consider : two correlated data sets A and B , seasonality of data set B and trend of B to predict future B figures :Winter´s method uses only 1 data set , although it is excellent for seasonality and trend but it doesn´t take into consideration the correlation with the data set A, any idea how to solve this ? Thanks in advance !:)
sorry I can't be of much help here... this sounds like some econometric analyses. seasonal analyses are well beyond what multiple regression can handle. sorry.
Hey, How can i find the correlation between FINANCIAL LITERACY(financial literacy has 3 main determinants i.e. financial attitude, financial behaviour and financial knowledge. So, statements from determinant was given.. The variables are FA1,FA2,FB1,FB2,FK1,FK2) and INVESTMENT AVENUES(bank deposits, stock market etc) Please reply🥺
You are in the right place. You want multiple correlation and regression. Follow the video I've posted but use fa1, fa2, fb1, fb2, fk1, and fk2 as the predictors to predict each of your outcomes. One model like this will be for each outcome of interest. So, predict bank deposits, then stock market, then whatever else. Separate model for each outcome. This is manageable. You can do this. Stay optimistic! 😁
how do i use correlation to measure the relationship between educational qualification of parents and marks scored by students ? Can I able to use Multiple Correlation and Regression Analysis
if parent education is just one variable, then you can use Pearson correlation with student performance. If you have father's education and mother's education measured separately, then yes multiple correlation/regression would work best.
@@loren.toussaint Sir Thank you so much for your reply its helps me a lot and I fo have a doubt sir. Since father's and mother's education is qualitative variable more precisely ordinal variable, Can I able to use correlation or multiple correlation/regression?
@@loren.toussaint Yes sir I collected the data like Business,govt employees,private employees, industrial works like that sir. Thank you so much for fast reply and clearing my doubt sir❤️. I actually doing college project it helps a lot sir!!
A correlation of .666?
That's pretty metal! \m/
Thank you! I am drowning but now drowning a bit less
What does unique predictor mean? Can I also know the individual correlation of the X variables to the Y variables? And I have known confounders (from previous study) but I am not sure wether I should put this in the analysis as well as X variables?
hi, sir. how do i use correlation for a relationship of SCIENTIFIC ATTITUDE (X1) and LEARNING INDEPENDENCY (X2) with SCIENCE PROCESS SKILL (Y). should i use regression? the hypotheses on my research is to know the simultant Relationships of the 2 independent variabels with 1 dependent variabels.
Is Sig. in the Anova section the p-value?
How about if I have two IVs, two Moderator variables, and one DV? Please help with the second question
ANOVA significance is the significance of the overall model. Look at the sig (p) value for the individual predictors (X variables) under the "coefficients" table. It has the t value from the t-test next to it. for a moderator model, you must multiply X1 and X2 and then enter X1, X2, and X1*X2 all in the same model and look at the sig of the X1*X2 variable. you must only look at the sig of X1 and X2 when X1*X2 is NOT in the model. Once you add X1*X2 into the model you can only look at sig of X1*X2.
How do i use correlation to find out the relationshio between productivity and profitability. In which I have 9 variables under employee productivity and having the same number of varuables in profitability. In another one, having 5 variables under capital productivity and 9 number pf variables under profitability. How to do correlation? Is it okay to go with correlation? Or any other methods?
You can use all of your productivity variables to predict profitability, but you have to use only one indicator of profitability at a time. In the first case you will have 9 models each with the same predictors and the 9 different outcomes of profitability taken one at a time in different models. Then you will have 9 different models with 5 predictors each. A separate model for each outcome is what is needed. Hope that helps.
how do i use correlation to measure the relationship between microfinance loans and living conditions such as education, health and food consumption?
put microfinance loans in as the dependent and education, health, and food consumption in as the independents. That should do it. Best of luck!
Hey , thx for this video ! Interesting! I´m looking for a forecasting method that would consider : two correlated data sets A and B , seasonality of data set B and trend of B to predict future B figures :Winter´s method uses only 1 data set , although it is excellent for seasonality and trend but it doesn´t take into consideration the correlation with the data set A, any idea how to solve this ? Thanks in advance !:)
sorry I can't be of much help here... this sounds like some econometric analyses. seasonal analyses are well beyond what multiple regression can handle. sorry.
Thanks for your quick reply!@@loren.toussaint
hi how do i make correlation between TFC, TPC and catalase activity? 3 of it are numerical
can you explain more what these variables are and which ones are predictors and which one is the outcome? what is your hypothesis?
Hey,
How can i find the correlation between FINANCIAL LITERACY(financial literacy has 3 main determinants i.e. financial attitude, financial behaviour and financial knowledge. So, statements from determinant was given.. The variables are FA1,FA2,FB1,FB2,FK1,FK2) and INVESTMENT AVENUES(bank deposits, stock market etc)
Please reply🥺
You are in the right place. You want multiple correlation and regression. Follow the video I've posted but use fa1, fa2, fb1, fb2, fk1, and fk2 as the predictors to predict each of your outcomes. One model like this will be for each outcome of interest. So, predict bank deposits, then stock market, then whatever else. Separate model for each outcome. This is manageable. You can do this. Stay optimistic! 😁
@@loren.toussaint Never thought you would reply, was searching for your profile all over the social media for asking this, thankyou so much!🥲❤️
Is it necessary to maintain same no.of levels in each variable?
no the variables can have different numbers of response options. that is fine.
@@loren.toussaint Thank you.
how do i use correlation to measure the relationship between educational qualification of parents and marks scored by students ? Can I able to use Multiple Correlation and Regression Analysis
if parent education is just one variable, then you can use Pearson correlation with student performance. If you have father's education and mother's education measured separately, then yes multiple correlation/regression would work best.
@@loren.toussaint Sir Thank you so much for your reply its helps me a lot and I fo have a doubt sir. Since father's and mother's education is qualitative variable more precisely ordinal variable, Can I able to use correlation or multiple correlation/regression?
@@aishwaryar1998 that should be just fine, especially if father/mother education has more than 4 categories.
@@loren.toussaint Yes sir I collected the data like Business,govt employees,private employees, industrial works like that sir. Thank you so much for fast reply and clearing my doubt sir❤️. I actually doing college project it helps a lot sir!!