Multi Regression Assumptions and Violatons
Help! I understand multiple regression calculations and concepts of SS 12; although, I am having difficulty with the violations of the general assumptions: Hetero, Serial Corr, Multicollin.
I do know the following (based on memorization):
residual not consistent
BP=n*R^2 = standard error to compare Chi^2 critical value
DW approximate 2(1-r)
Mainly time series data
High correlation amoung independent variables
look for high R^2 and F stat that is significant, but no T stats that are significant
Can someone please clarify the general assumptions and the major violations.
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