Management of a soft drink bottling company has the business objective of developing a method for allocating delivery costs to customers. Although one cost clearly relates to travel time within a particular route, another variable cost reflects the time required to unload the cases of soft drink at the delivery point. To begin, management decided to develop a regression model to predict delivery time based on the number of cases delivered. A sample of 7 deliveries within a territory was selected. The delivery times and the number of cases delivered were organized in the following table: Customer No. of Cases Delivery Time 1 14 24 2 16 31 3 17 28 4 19 30 5 11 20 16 22 7 24 40 a) Use the least-squares method to compute the regression coefficients. b) Write down the estimated equation and interpret the meaning of the coefficients in this problem c) Predict the mean delivery time for 26 cases of soft drink. d) Determine the value of the extent of relationship between delivery time and number of cases and interpret your result. e) Determine the coefficient of detemination and explain its meaning in this problem. f) What variation in delivery time is not attributed to the number of cases g) At the 5% significance level, determine whether there a correlation between delivery time and number of cases.
Management of a soft drink bottling company has the business objective of developing a method for allocating delivery costs to customers. Although one cost clearly relates to travel time within a particular route, another variable cost reflects the time required to unload the cases of soft drink at the delivery point. To begin, management decided to develop a regression model to predict delivery time based on the number of cases delivered. A sample of 7 deliveries within a territory was selected. The delivery times and the number of cases delivered were organized in the following table: Customer No. of Cases Delivery Time 1 14 24 2 16 31 3 17 28 4 19 30 5 11 20 16 22 7 24 40 a) Use the least-squares method to compute the regression coefficients. b) Write down the estimated equation and interpret the meaning of the coefficients in this problem c) Predict the mean delivery time for 26 cases of soft drink. d) Determine the value of the extent of relationship between delivery time and number of cases and interpret your result. e) Determine the coefficient of detemination and explain its meaning in this problem. f) What variation in delivery time is not attributed to the number of cases g) At the 5% significance level, determine whether there a correlation between delivery time and number of cases.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Transcribed Image Text:Management of a soft drink bottling company has the business objective of developing a
method for allocating delivery costs to customers. Although one cost clearly relates to travel
time within a particular route, another variable cost reflects the time required to unload the
cases of soft drink at the delivery point. To begin, management decided to develop a regression
model to predict delivery time based on the number of cases delivered. A sample of 7 deliveries
within a territory was selected. The delivery times and the number of cases delivered were
organized in the following table:
Customer No. of Cases Delivery
Time
1
14
24
16
31
3
17
28
4
19
30
5
11
20
6
16
22
7
24
40
a) Use the least-squares method to compute the regression coefficients.
b) Write down the estimated equation and interpret the meaning of the coefficients in this
problem
c) Predict the mean delivery time for 26 cases of soft drink.
d) Determine the value of the extent of relationship between delivery time and number of
cases and interpret your result.
e) Determine the coefficient of determination and explain its meaning in this problem.
f) What variation in delivery time is not attributed to the number of cases
g) At the 5% significance level, determine whether there a correlation between delivery
time and number of cases.
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