Contents
How can I compare regression coefficients between two?
Parameter Variable Estimate INTERCEP 5.601677 : This is the intercept for the males (omitted group) This corresponds to the intercept for males in the separate groups analysis.
When do you need to compare regression lines?
If you perform linear regression analysis, you might need to compare different regression lines to see if their constants and slope coefficients are different. Imagine there is an established relationship between X and Y.
What do you need to know about linear regression analysis?
If you perform linear regression analysis, you might need to compare different regression lines to see if their constants and slope coefficients are different. Imagine there is an established relationship between X and Y. Now, suppose you want to determine whether that relationship has changed.
Can you compare the coefficients of two models?
The authors went on to compare the two models, and specifically compare the coefficients for the same predictors across the two models. Uh-oh. Can’t do that. If you’re just describing the values of the coefficients, fine. But if you want to compare the coefficients AND draw conclusions about their differences, you need a p-value for the difference.
Note that other statistical packages, such as SAS and Stata, omit the group of the dummy variable that is coded as zero. However, SPSS omits the group coded as one. Therefore, when you compare the output from the different packages, the results seem to be different.
What is the t value of regression coefficient Bf?
The T value is -6.52 and is significant, indicating that the regression coefficient Bf is significantly different from Bm . Let’s look at the parameter estimates to get a better understanding of what they mean and how they are interpreted.
How to use femht as a predictor in regression?
We then use female, height and femht as predictors in the regression equation. split file off. compute female = 0. if gender = “F” female = 1. compute femht = female*height. execute. regression /dep weight /method = enter female height femht. The output is shown below.