Hi,

I am doing a regression analysis on review star rating of VR headsets as a dependent variable and 14 attribute dummies. Each dummy is an attribute such as price, resolution, comfort with 3-1 levels (positive mentioned in review, negative mentioned in review, not mentioned). I am now checking assumptions for the linear regression. I have read on this forum that the linearity can't possibly be violated but I can't get it to work for the assumptions homoscedasticity and normally distrubuted errors. I have read some other posts about doing some test but I havent succeed in applying them correctly in SPSS myself. Can anyone help me in checking these assumptions for my research?

Thanks!