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 |
|
Se = 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 |
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
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 |
|
Se = 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 |
We value our customers and so we ensure that what we do is 100% original..
With us you are guaranteed of quality work done by our qualified experts.Your information and everything that you do with us is kept completely confidential.
You have to be 100% sure of the quality of your product to give a money-back guarantee. This describes us perfectly. Make sure that this guarantee is totally transparent.
Read moreThe Product ordered is guaranteed to be original. Orders are checked by the most advanced anti-plagiarism software in the market to assure that the Product is 100% original. The Company has a zero tolerance policy for plagiarism.
Read moreThe Free Revision policy is a courtesy service that the Company provides to help ensure Customer’s total satisfaction with the completed Order. To receive free revision the Company requires that the Customer provide the request within fourteen (14) days from the first completion date and within a period of thirty (30) days for dissertations.
Read moreThe Company is committed to protect the privacy of the Customer and it will never resell or share any of Customer’s personal information, including credit card data, with any third party. All the online transactions are processed through the secure and reliable online payment systems.
Read moreBy placing an order with us, you agree to the service we provide. We will endear to do all that it takes to deliver a comprehensive paper as per your requirements. We also count on your cooperation to ensure that we deliver on this mandate.
Read more