A university offers supplemental instruction (SI) for introductory chemistry students three times a week. The table below shows the number of SI visits during the semester for a sample of students along with each student's final class average. Use technology to compute a p-value and use it to determine whether the regression equation is useful for making predictions about the benefit of attending SI. Test at the 5% significance level with the hypotheses Ho: B₁ = 0 and H₂: B₁ * 0. # of Sl visits 2 8 10 9 15 7 5 4 8 10 7 7 5 4 4 11 Final class average 81 85 76 76 72 72 42 59 81 71 66 88 63 62 61 70 O A. p=0.0325. Since p < x, do not reject the null hypothesis Ho: B₁ = 0. The regression equation is not useful for making predictions. OB. p=0.2633. Since p> x, reject the null hypothesis Ho: B₁ = 0. The regression equation is useful for making predictions. O C. p=0.2529. Since p> x, do not reject the null hypothesis Ho: B₁ = 0. The regression equation is not useful for making predictions. OD. p=0.04229. Since p < x, reject the null hypothesis Ho: B₁ = 0. The regression equation is useful for making predictions.
A university offers supplemental instruction (SI) for introductory chemistry students three times a week. The table below shows the number of SI visits during the semester for a sample of students along with each student's final class average. Use technology to compute a p-value and use it to determine whether the regression equation is useful for making predictions about the benefit of attending SI. Test at the 5% significance level with the hypotheses Ho: B₁ = 0 and H₂: B₁ * 0. # of Sl visits 2 8 10 9 15 7 5 4 8 10 7 7 5 4 4 11 Final class average 81 85 76 76 72 72 42 59 81 71 66 88 63 62 61 70 O A. p=0.0325. Since p < x, do not reject the null hypothesis Ho: B₁ = 0. The regression equation is not useful for making predictions. OB. p=0.2633. Since p> x, reject the null hypothesis Ho: B₁ = 0. The regression equation is useful for making predictions. O C. p=0.2529. Since p> x, do not reject the null hypothesis Ho: B₁ = 0. The regression equation is not useful for making predictions. OD. p=0.04229. Since p < x, reject the null hypothesis Ho: B₁ = 0. The regression equation is useful for making predictions.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Transcribed Image Text:A university offers supplemental instruction (SI) for introductory chemistry students three times a week.
The table below shows the number of SI visits during the semester for a sample of students along with
each student's final class average. Use technology to compute a p-value and use it to determine whether
the regression equation is useful for making predictions about the benefit of attending SI. Test at the 5%
significance level with the hypotheses Ho: B₁ = 0 and H₂: B₁ *0.
# of Sl visits 2 8 10 9 15 7 5 4 8 10 7 7 5 4 4 11
Final class average 81 85 76 76 72 72 42 59 81 71 66 88 63 62 61 70
O A. p=0.0325. Since p < x, do not reject the null hypothesis Ho: B₁ = 0. The regression equation is
not useful for making predictions.
O B. p=0.2633. Since p> x, reject the null hypothesis Ho: B₁ = 0. The regression equation is useful
for making predictions.
O C. p=0.2529. Since p > x, do not reject the null hypothesis Ho: B₁ = 0. The regression equation is
not useful for making predictions.
O D. p=0.04229. Since p < x, reject the null hypothesis Ho: B₁ = 0. The regression equation is useful
for making predictions.
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