Hi there I have currently been running a stepwise multiple linear regression in SPSS and have been having trouble interpreting the results. I have attached a link to the results below:
More specifically I set my regression to produce a correlation matrix which can be seen in the folder above. It is my understanding that a stepwise regression will add the most statistically significant variables one at a time until it produces the best result. However I can't understand why it is adding variables that do not exhibit the strongest correlations or significance with the dependent variable(height). Surely the model should add the variables that the variables that have the highest correlation and significance?