Part A} Multicollinarity can result in ____ standard errors and ____ t test statics, thus a greater likelihood that a researcher will find evidence of ____ between X and Y. small; large; no linear relationship large; small; no linear relationship small; large; a linear relationship large; small; a linear relationship Part B} A smaller variance inflation factor implies multicollinearity is less likely to he a problem. forecasts are more likelyr to be inaccurate. a lower coefficient of determination. the root mean square error is larger. Which of the following is an example of a lagged dependent variable? Yt = Bo + P1Xt-1 + et Yt = Bo + P1Yt-1 + et Xt = Bo + P1Yt-1 + et None of the above. Part D) OUTPUT Suppose a multiple linear regression is estimated in State with the following results: Source SS Of MS Model 2 250 Residual 400 Total 82 OUTPUT. What is the sample size n? 80 81 82 83 The answer cannot be calculated with the information given. None of the above