I have used regression to explain a dependent variable with a number of independent variables.
I expected independent variables which have higher correlations with the dependent variable to have higher beta weights in the regression model but this is not the case for some variables. That is, there are some independent variables with very small correlations with the dependent variable but with large and statistically significant betas. And some independent variables with greater correlations with the dependent variable but smaller betas. Can someone explain why this has happened? Thanks