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

Question 13

Louis 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.

	Coefficients		Standard Error		t Statistic		p-value

Intercept	3.996		1.161268		3.441065		0.004885
x	0.358		0.102397		3.496205		0.004413

Source	df	SS		MS		F		S_e = 0.898
Regression	1	9.858769		9.858769		12.22345		r² = 0.526341
Residual	11	8.872		0.806545
Total	12	18.73077

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 + 0.358x

Question 20

According 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 EndLayout

Round your answer to 2 decimal places, the tolerance is +/-0.01.

The value of the test statistic is and we .

Question 34

	Coefficients		Standard Error		t Statistic		p-value

Intercept	3.996		1.161268		3.441065		0.004885
x	0.358		0.102397		3.496205		0.004413

Source	df	SS		MS		F		S_e = 0.898
Regression	1	9.858769		9.858769		12.22345		r² = 0.526341
Residual	11	8.872		0.806545
Total	12	18.73077

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

Question 20

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