Wassamatta 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 H
0: β
1 = 0 and H
a: β
1 ≠ 0.
◦ p = 0.2633. Since p > α, reject the null hypothesis H
0: β
1 = 0. The regression equation is useful for making predictions.
◦ p = 0.2529. Since p > α, do not reject the null hypothesis H
0: β
1 = 0. The regression equation is not useful for making predictions.
◦ p = 0.04229. Since p < α, reject the null hypothesis H
0: β
1 = 0. The regression equation is useful for making predictions.
◦ p = 0.0325. Since p < α, do not reject the null hypothesis H
0: β
1 = 0. The regression equation is not useful for making predictions.
Students
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chemistry lab - acid base titration