Louis katz, a cost accountant at papalote plastics, inc. (ppi), is

Louis katz, a cost accountant at papalote plastics, inc. (ppi), is

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Question 13Louis Katz, a cost accountant at Papalote Plastics, Inc. (PPI), 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 $100’s). Regression analysis of the data yielded the following tables.  CoefficientsStandard Errort Statisticp-value            Intercept3.9961.1612683.4410650.004885 x0.3580.1023973.4962050.004413            SourcedfSSMSF Se = 0.898Regression19.8587699.85876912.22345 r2 = 0.526341Residual118.8720.806545   Total1218.73077    Louis’s regression model is _____________.  y = -0.358 + 3.996x  y = 3.996 – 0.358x  y = 0.358 + 3.996x  y = -3.996 + 0.358x  y = 3.996 + 0.358xQuestion 20According to a study several years ago by the Personal Communications Industry Association, the average wireless phone user earns $62,600 per year. Suppose a researcher believes that the average annual earnings of a wireless phone user are lower now, and he sets up a study in an attempt to prove his theory. He randomly samples 18 wireless phone users and finds out that the average annual salary for this sample is $58,974, with a population standard deviation of $7,810. Use α = .01to test the researcher’s theory. Assume wages in this industry are normally distributed.The value of the test statistic rounded to 2 decimal places is z =   and we  .The tolerance is +/- 0.05.A random sample of 51 items is taken, with   and s2 = 25.68. Use these data to test the following hypotheses, assuming you want to take only a 1% risk of committing a Type I error and that x is normally distributed. StartLayout 1st Row 1st Column Upper H Subscript 0 Baseline colon mu equals 60 ⁢EndLayout StartLayout 1st Row 1st Column Upper H Subscript a Baseline colon mu less-than 60 EndLayoutRound your answer to 2 decimal places, the tolerance is +/-0.01.The value of the test statistic is   and we  .Question 34Louis Katz, a cost accountant at Papalote Plastics, Inc. (PPI), 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 $100’s). Regression analysis of the data yielded the following tables.  CoefficientsStandard Errort Statisticp-value            Intercept3.9961.1612683.4410650.004885 x0.3580.1023973.4962050.004413            SourcedfSSMSF Se = 0.898Regression19.8587699.85876912.22345 r2 = 0.526341Residual118.8720.806545   Total1218.73077    Using α = 0.05, Louis should ___________.  not reject H0: β1 = 0  reject H0: β1 = 0  do not reject H0: β0 = 0  suspend judgment  increase the sample size

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