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michlee michlee
wrote...
Posts: 461
4 years ago
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 H0: β1 = 0 and Ha: β1 ≠ 0.



▸ p = 0.2633. Since p > α, reject the null hypothesis H0: β1 = 0. The regression equation is useful for making predictions.

▸ p = 0.0325. Since p < α, do not reject the null hypothesis H0: β1 = 0. The regression equation is not useful for making predictions.

▸ p = 0.04229. Since p < α, reject the null hypothesis H0: β1 = 0. The regression equation is useful for making predictions.

▸ p = 0.2529. Since p > α, do not reject the null hypothesis H0: β1 = 0. The regression equation is not useful for making predictions.
Textbook 
Introductory Statistics: Exploring the World Through Data

Introductory Statistics: Exploring the World Through Data


Edition: 2nd
Authors:
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BakariBakari
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Posts: 371
4 years ago
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michlee Author
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4 years ago
Thanks for your help!!
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Yesterday
Thanks
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2 hours ago
Brilliant
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