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FALL 2017 BIOL 3000-01 Home / My courses / FALL 2017 BIOL 3000-01 / Linear Regression / Quiz #12 (due Monday, 124, 11:59 pm) Question 1 Not yet answered Points out of 1.00 Prof. N wants to predict BIOL 300 final exam scores using the number of hours that students have studied for the exam. Data from previous years on exam scores and hours studied shows that the correlation coefficient for these two variables is 0.62. Which of the following is the best response for whether or not Prof. N should use linear regression to predict the score of a student who has studied 10 hours for the final exam? Flag question Select one: a. Linear regression would not be appropriate because there is no way to prove that more hours of studying leads to higher exam scores. O b. Linear regression would be appropriate because there is a moderate correlation between exam scores and hours studied O c. Linear regression would be appropriate because it is the statistical method used to make predictions from bivariate numerical data. d. Linear regression could be appropriate if a scatter plot shows a linear relationship between exam scores and hours studied Question 2 Which of the following statements about residuals for a valid linear regression model is false? Not yet answered Select one:
Explanation / Answer
The regression has five key assumptions:
So, D option
