Question

A​ mail-order catalog business maintains a centralized warehouse for the distribution of products ordered. Management is...

A​ mail-order catalog business maintains a centralized warehouse for the distribution of products ordered. Management is currently examining the process of distribution from the warehouse and has the business objective of determining the factors that affect warehouse distribution costs. Data that indicate the warehouse distribution costs and the number of orders received over the past 15 months are in the accompanying table. Complete parts​ (a) through​ (f) below.

Month

Cost​ ($thousands)

Orders

1

74.78

4629

2

89.33

5452

3

70.42

4417

4

93.28

5732

5

72.48

4395

6

85.49

5313

7

52.26

3215

8

94.18

5882

9

62.51

3981

10

82.25

5037

11

79.11

4887

12

68.76

4119

13

54.54

3321

14

69.33

4269

15

58.49

3639

a) Assuming a linear​ relationship, use the​ least-squares method to find the regression coefficients b0 and b1. Use the number of orders as the independent variable X and the warehouse distribution costs as the dependent variable Y. b0=_____b1=_____

b) Predict the monthly warehouse distribution costs when the number of orders is 5,500. Yi​(5,500​)=______ thousand ​(Round to two decimal places as​ needed.) (fill in the blank)

d) Compute the​ Durbin-Watson statistic. At the 0.05 level of​ significance, is there evidence of positive auto correlation among the​ residuals? What is the value of the​ Durbin-Watson statistic? D=____ (round to two decimal places as needed)

Use the given table to find the critical values of the​ Durbin-Watson statistic.

dL=___ (round to two decimal places as needed)

dU= ___(round to two decimal places as needed)

Is there evidence of positive auto correlation among the​ residuals?

A.​No, because D>dU.

B.​Yes, because D is between dL and dU.

C.​Yes, because D<dL.

D. The test in inconclusive

e. Based on the results of​ (c) and​ (d), is there reason to question the validity of the​ model?

There is_____ pattern in the residual plot in​ (c). Part​ (d) provides _______ of autocorrelation.​ Therefore, there is

____________to question the validity of the model. (fill in the blanks)

f. What conclusions can you reach concerning the factors that affect distribution​ costs?

1)As the number of orders​ increases, the distribution costs increase.

2)According to the​ model, the distribution costs are not affected by the number of orders.

3)No conclusions can be reached.

4)As the number of orders​ decreases, the distribution costs increase.

Homework Answers

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
QUESTION 1 For a combination of α (level of significance) = 0.05, n (sample size) =...
QUESTION 1 For a combination of α (level of significance) = 0.05, n (sample size) = 25, k (number of independent variables in the model) = 1 and D (Durbin-Watson statistic) = 3.30 , what statistical decision should be made when testing the null hypothesis of no negative autocorrelation? a. Neither reject nor not reject the null hypothesis. b. Do not reject the null hypothesis. c. Accept the null hypothesis. d. Reject the null hypothesis 1 points    QUESTION 2...
Customer Distribution by Weekday: A drop-in auto repair shop staffs the same number of mechanics on...
Customer Distribution by Weekday: A drop-in auto repair shop staffs the same number of mechanics on every weekday (weekends are not counted here). One of the mechanics thinks this is a bad idea because he suspects the number of customers is not evenly distributed across these days. For a sample of 289 customers, the counts by weekday are given in the table. Number of Customers by Day (n = 289) Monday Tuesday Wednesday Thursday Friday Count   53     68     55     65  ...
Customer Distribution by Weekday: A drop-in auto repair shop staffs the same number of mechanics on...
Customer Distribution by Weekday: A drop-in auto repair shop staffs the same number of mechanics on every weekday (weekends are not counted here). One of the mechanics thinks this is a bad idea because he suspects the number of customers is not evenly distributed across these days. For a sample of 289 customers, the counts by weekday are given in the table. Number of Customers by Day (n = 289) Monday Tuesday Wednesday Thursday Friday Count   55     68     59     67  ...
2.Customer Distribution by Weekday: A drop-in auto repair shop staffs the same number of mechanics on...
2.Customer Distribution by Weekday: A drop-in auto repair shop staffs the same number of mechanics on every weekday (weekends are not counted here). One of the mechanics thinks this is a bad idea because he suspects the number of customers is not evenly distributed across these days. For a sample of 289 customers, the counts by weekday are given in the table. Number of Customers by Day (n = 289) Monday Tuesday Wednesday Thursday Friday Count 55 66 59 63...
The following contingency table shows the distribution of grades earned by students taking a midterm exam...
The following contingency table shows the distribution of grades earned by students taking a midterm exam in an MBA​ class, categorized by the number of hours the students spent studying for the exam. Complete parts a. and b. below. TIME SPENT STUDYING A B C LESS THAN 3 HOURS 4 19 8 3-5 HOURS 18 17 5 MORE THAN 5 HOURS 16 13 4 a. Using APLHA = 0.01 perform a​ chi-square test to determine if a​ student's grade on...
The following contingency table shows the distribution of grades earned by students taking a midterm exam...
The following contingency table shows the distribution of grades earned by students taking a midterm exam in an MBA​ class, categorized by the number of hours the students spent studying for the exam. Complete parts a. and b. below. Click the icon to view the contingency table. Grade Time spent Studying    A B    C Less than 3 hours    3 18    11 3-5 hours 16 13    7 More than 5 hours 23 14    4 a....
Sign In INNOVATION Deep Change: How Operational Innovation Can Transform Your Company by Michael Hammer From...
Sign In INNOVATION Deep Change: How Operational Innovation Can Transform Your Company by Michael Hammer From the April 2004 Issue Save Share 8.95 In 1991, Progressive Insurance, an automobile insurer based in Mayfield Village, Ohio, had approximately $1.3 billion in sales. By 2002, that figure had grown to $9.5 billion. What fashionable strategies did Progressive employ to achieve sevenfold growth in just over a decade? Was it positioned in a high-growth industry? Hardly. Auto insurance is a mature, 100-year-old industry...