Myself Ph.D. (in) and have delivered such regression projects in past, can provide linear regression results with all diagnostics as mentioned below for the data employed/supported.
• Normality of the residuals:
– Shapiro-Wilks (or) Kolmogorov-Smirnov Test.
• Equality of variance of the errors (Homogeneity of residual variance):
– White’s General Specification test.
• No autocorrelation of residuals:
– Durbin Watson or ACF or PACF of residuals.
• Multi-co-linearity:
– Correlation matrix.
– Variance Inflation Factor (or) Tolerance.
• No serious outlier distortion:
– Serious outlier means standardized the residuals (robust regression).
– Finally, one can standardized the variables.
As, freelancer.com bid does not allow for attaching; cannot showcase my expertise in this area. I am available at freelance chat (click on my name and options), to understand the requirements and explain my approach if required in detail.
Waiting for your reply.
Regards,
Dr. Kumar PM.