I have carried out simple linear regression and I am now checking the models meets the assumption of homogeneity of variance:
• am I correct in concluding that the Levenes tests which gave a p<0.05 indicates a violation of homogeneity of variance?
• some models contain 2 or 3 explanatory variables, but in some models, only 1 explanatory variable gave p<0.05 in the Levenes test. Therefore, should only those explanatory variables which gave p<0.05 be corrected?
• is transformation the best place to start when correcting for violation of homogeneity?