Suppose there is evidence that two or more of the independent variables, or linear combinations of independent variables, may be highly correlated with each other. The most likely effect on the statistical inferences Smith can make from the regression results is to commit

a: Type I error by incorrectly rejecting the null hypothesis that the regression parameters are equal to zero.

b. Type II error by incorrectly failing to reject the null hypothesis that the regression parameters are equal to zero.

c. Type I error by incorrectly failing to reject the null hypothesis that the regression parameters are equal to zero