Question 5 (1 point) Intercept3.996 0.358 Coefficients Standard Error Statisticp

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Question 5 (1 point) Intercept3.996 0.358 Coefficients Standard Error Statisticp-value 1.161268 3.4410650004885 0.102397 3.4962050004413 Source df SS MS e0.898 Regression 1 9.858769 9.858769 12.223451 E 0.526341 Residual 1 8.872 0.806545 . Total | 12 | 18.73077 | Louis Katz, a cost accountant at Papalote Plastics, Inc. (PP1), is analyzing the manufacturing costs of a molded plastic telephone handset produced by PPI. Louis's independent variable is production lot size (in 1,000's of units), and his dependent variable is the total cost of the lot (in $100s). Regression analysis of the data yielded the output given above. Using the 0.05 significance level, Louis should O not reject Ho: 1-0 0 reject Ho: 1-0 O do not reject Ho: Bo- 0 reject Hai B.-o Save Previous Page Next Page Page 1 of 2

Explanation / Answer

Question 5 (1 point) Intercept3.996 0.358 Coefficients Standard Error Statisticp-value 1.161268 3.4410650004885 0.102397 3.4962050004413 Source df SS MS e0.898 Regression 1 9.858769 9.858769 12.223451 E 0.526341 Residual 1 8.872 0.806545 . Total | 12 | 18.73077 | Louis Katz, a cost accountant at Papalote Plastics, Inc. (PP1), is analyzing the manufacturing costs of a molded plastic telephone handset produced by PPI. Louis's independent variable is production lot size (in 1,000's of units), and his dependent variable is the total cost of the lot (in $100s). Regression analysis of the data yielded the output given above. Using the 0.05 significance level, Louis should O not reject Ho: 1-0 0 reject Ho: 1-0 O do not reject Ho: Bo- 0 reject Hai B.-o Save Previous Page Next Page Page 1 of 2

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