True or False: We can't calculate residuals without first knowing B. and B,. O True O FalseWhich of the following is NOT a benefit of regression relative to correlation We can characterize the expected level of Y when X=0 O We can characterize what we think will happen to Y when we increase X by one unit We can accurately characterize non-linear relationships O We can characterize the errors in our predictions O All of the above are legitimate benefits of regression relative to correlationWhich of the following is a FALSE match? O E and Error Term O E and Residual O B and Coefficient O B and Beta O All of the above are correct matchesWhich of the following is a correct match? O E and Beta O E and Coefficient O X and coefficient O Y and LHS Variable O More than one of the above are correct matchesWhich of the following is a false statement? O Since univariate models typically leave out lots of important RHS variables, we expect to have non-zero residuals O A linear relationship means the impact of changing a RHS on a LHS variable, doesn't depend on whether the level of the RHS variable is low or high. The impact is assumed to be about the same size. O A univariate regression model basically can't be used to establish causality O It's always fine to assume linearity O All of the above are correct statements