the researchers performed the analysis below.

  > summary(lm(totchol~bmi+female))  Call: lm(formula = totchol ~ bmi + female)  Residuals:  Min 1Q Median 3Q Max -136.80 -29.65 -3.38 25.54 380.09  Coefficients:  Estimate Std. Error t value Pr(>|t|) (Intercept) 211.5349 5.3311 39.680 < 2e-16 *** bmi 0.5329 0.1980 2.691 0.00716 ** female 19.9420 1.6045 12.429 < 2e-16 *** --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1  Residual standard error: 43.34 on 2995 degrees of freedom Multiple R-squared: 0.05001, Adjusted R-squared: 0.04938 F-statistic: 78.84 on 2 and 2995 DF, p-value: < 2.2e-16 

A. Based on this analysis and the first one, was there evidence that the association between bmi and total cholesterol was confounded by sex?

B. Based on the R output in the previous question (second analysis), what is the expected total cholesterol level in a male with bmi=30?

C. Using the R output for the previous question (second analysis), interpret the "Multiple R-squared" value in a sentence.