The Minitab display shown below is based on the measured amo

The Minitab display shown below is based on the measured amounts of tar, carbon monoxide (CO), and nicotine in a sample of 25 types of cigarettes. Should the multiple regression equation be used for predicting the amount of nicotine based on the amounts of tar and CO? Why or why not? Click the icon to view the Minitab display Choose the correct answer below. A. Yes. because the adjusted R2 of 0.000 is high and the P-value of 0.684 is small. B. No, because the adjusted R2 of 0.000 is high and the P-value of 0.684 is small. C. Yes. because the adjusted R2 of 0.000 is small and the P-value of 0.684 is high. D. No, because the adjusted R2 of 0.000 is small and the P-value of 0.684 is high.

Solution

We can use a regression model when

1. R^2 is high
2. P value is low.

However, its\' quite the opposite. R^2 = 0.000 (low) and P value = 0.684 (high, should be below 0.05).

Then

OPTION D: NO, BECAUSE THE ADJUSTED R^2 IS SMALL AND THE P VALUE OF 0.684 IS HIGH. [ANSWER]