Use the AnalyzeCorrelateBivariate procedure to generate a correlation matrix for the following feeling thermometers in the NES dataset: ft_Trump_pre, ft_Police, ft_Rep, ft_Obama, and ft_HClinton_pre. Be sure to weight observations using nesw so your results are nationally representative. Fill in the missing Pearson correlation coefficients in the following table.

According to the correlation coefficient, as feeling thermometer scores for the police increase, feeling thermometer scores for Republicans (circle one)

increase.decrease.

According to the correlation coefficient matrix, which of the following variables has the strongest correlation (either negatively or positively) with feeling thermometer scores for Donald Trump? (circle one)

PoliceRepublicansObamaH. Clinton

According to the correlation coefficient matrix, the following two feeling thermometer scores have the strongest correlation (either negatively or positively): __________________ and