14.44. Evidence of multicollinearity exists in a multiple regression fit when (a) Strong intercorrelations occur among explanatory

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14.44. Evidence of multicollinearity exists in a multiple regression fit when

(a) Strong intercorrelations occur among explanatory variables.

(b) The R2-value is very large.

(c) The F test of H0: β1 = · · · = βk = 0 has a small P-value, but the individual t tests of H0: β1 = 0, . . . , H0: βk = 0 do not.

(d) A predictor variable has VIF = 12.

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