I LulaLu} ; > **1.** In Try It 7, the test statistic and corresponding p-value for flavor grade were found to be 9.696 and 1.89e-11, respectively. In words (not notation), explain what is being assessed with these values? **Answer:** Replace this text with your answer. > **Z.** If someone asked you to predict the total rating for a coffee who has a flavor grade of 9.6, explain why you should be cautious to use the regression model you created in Try It 7 to do this. Some helpful numerical summaries for the explanatory variable ('flavor') can be obtained by running the code chunk below. \"'{r diveDeeperZ, error = T} summary(coffee$flavor) I4 v >> X Min. lst Qu. Median Mean 3rd Qu. Max. 6.830 7.330 7.500 7.492 7.670 8.170 **Answer:** Replace this text with your answer. 417 - {r tryIt7, error = T} 418 summary(lm_coffee 419 420 - Call : Im(formula = rating ~ altitude, data = coffee) Residuals : Min 10 Median 30 Max -3. 4810 -0.8943 -0.2557 1.4456 3.1156 Coefficients : Estimate Std. Error t value Pr(>Itl) (Intercept) 7.954e+01 1.317e+00 60.400