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Anytime we have a univariate model, we will be missing lots of RHS variables that probably matter. This means: O The covariance will be hard
Anytime we have a univariate model, we will be missing lots of RHS variables that probably matter. This means: O The covariance will be hard to interpret O We might be better off using the correlation coefficient O Our residuals will not be zero The regression model is of no value O All of the above are falseTrue or False: If we believe in a linear relationship that means the benets to years in school is about the same when someone increases their 1years in school from 2 to 3 yea rs, and when someone increases their 1\"rears in school from 1? to 13. 0 True O False C) More information is needed "Y i" is _ _____ and "Y i hat" is ___ O The predicted value of the LHS variable for observation i, the observed value of the LHS variable for observation i O The observed value of the LHS variable for observation i. the predicted value of the LHS variable for observation i O the sample value of the LHS variable for observation ir the population value of the LHS variable for observation i O The observed value of the RHS variable for observation i, the predicted value of the RHS variable for observation i O The predicted value of the RHS variable for observation i. the observed value of the RHS variable for observation i True or False: E(E)=0 O True O False PreviousWhich of the following is a FALSE match? O X and RHS Variable O RHS Variable and Independent Variable O LHS Variable and Dependent Variable O Y and Regressor All of the above are correct matches
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