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Nick Stauner
Nick Stauner
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I have eight independent variables and one dependent. I have run a correlation matrix, and 5 of them have a low correlation with the DV. I have then run a stepwise multiple regression to see whether any/all of the IVs can predict the DV. The regression showed that only two IVIVs can predict the DV (can only account for about 20% of the variance though), and SPSS removed the rest from the model. My supervisor reckons that I have not run the regression correctly, as due to the strength of the correlations, I should have found more predictors in the regression model. But the correlations were tiny, so my question is -: if IVs and the DV hardly correlate, can IVs still be good predictors of the DV?

I have eight independent variables and one dependent. I have run a correlation matrix and 5 of them have a low correlation with the DV. I have then run a stepwise multiple regression to see whether any/all of the IVs can predict the DV. The regression showed that only two IV can predict the DV (can only account for about 20% of the variance though) and SPSS removed the rest from the model. My supervisor reckons that I have not run the regression correctly, as due to the strength of the correlations, I should have found more predictors in the regression model. But the correlations were tiny, so my question is - if IVs and DV hardly correlate, can IVs still be good predictors of DV?

I have eight independent variables and one dependent. I have run a correlation matrix, and 5 of them have a low correlation with the DV. I have then run a stepwise multiple regression to see whether any/all of the IVs can predict the DV. The regression showed that only two IVs can predict the DV (can only account for about 20% of the variance though), and SPSS removed the rest from the model. My supervisor reckons that I have not run the regression correctly, as due to the strength of the correlations, I should have found more predictors in the regression model. But the correlations were tiny, so my question is: if IVs and the DV hardly correlate, can IVs still be good predictors of the DV?

added 2 characters in body; edited title
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Nick Cox
Nick Cox
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Can independent variables that havewith low correlation with independentdependent variable be significant predictors of the IV?

I have eight independent variables and one dependent. I have run a correlation matrix and 5 of them have a low correlation with the IVDV. I have then run a stepwise multiple regression to see whether any/all of the IVs can predict the DV. The regression showed that only two IV can predict the DV (can only abtaccount for about 20% of the variance though) and SPSS removed the rest from the model. My supervisor reckons that I have not run the regression correctly, as due to the amountstrength of the correlations, I should have found more predictors in the regression model. But the correlations were tiny, so my question is - if IVs and DV hardly correlate, can IVs still be good predictors of DV?

Can independent variables that have low correlation with independent variable be significant predictors of the IV

I have eight independent variables and one dependent. I have run a correlation matrix and 5 of them have a low correlation with the IV. I have then run a stepwise multiple regression to see whether any/all of the IVs can predict the DV. The regression showed that only two IV can predict the DV (can only abt 20% of the variance though) and SPSS removed the rest from the model. My supervisor reckons that I have not run the regression correctly, as due to the amount of correlations, I should have found more predictors in the regression model. But the correlations were tiny, so my question is - if IVs and DV hardly correlate, can IVs still be good predictors of DV?

Can independent variables with low correlation with dependent variable be significant predictors?

I have eight independent variables and one dependent. I have run a correlation matrix and 5 of them have a low correlation with the DV. I have then run a stepwise multiple regression to see whether any/all of the IVs can predict the DV. The regression showed that only two IV can predict the DV (can only account for about 20% of the variance though) and SPSS removed the rest from the model. My supervisor reckons that I have not run the regression correctly, as due to the strength of the correlations, I should have found more predictors in the regression model. But the correlations were tiny, so my question is - if IVs and DV hardly correlate, can IVs still be good predictors of DV?

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Elle
Elle
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Can independent variables that have low correlation with independent variable be significant predictors of the IV

I have eight independent variables and one dependent. I have run a correlation matrix and 5 of them have a low correlation with the IV. I have then run a stepwise multiple regression to see whether any/all of the IVs can predict the DV. The regression showed that only two IV can predict the DV (can only abt 20% of the variance though) and SPSS removed the rest from the model. My supervisor reckons that I have not run the regression correctly, as due to the amount of correlations, I should have found more predictors in the regression model. But the correlations were tiny, so my question is - if IVs and DV hardly correlate, can IVs still be good predictors of DV?