Which of the followings is cornet when selecting a best subset iu a multiple- li

Question

Which of the followings is cornet when selecting a best subset iu a multiple- linear regression.' Choose all correct answers. Missing one or more important predictor does not yield biased regression coefficients and biased predictions of the response. Missing one or more important predictor yields winter confidence intervals than it should A regression model that contains one or more extraneous variables that arc neither related to the response yields biased predictions of tin- response, and a biased MSE. Confidence intervals tend to be wider in a regression model that contains one or more variables that are related to the response

Explanation / Answer

answers :

missing one or more important predictor yield wider confidence intervals than it should

important predictor varibles observed within a norrwo range of values may turn out to be statistically nonsignificant

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