Mathematics, 31.12.2019 01:31 Alayna1037

Management of a soft-drink bottling company wished to develop 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. a sample of 20 customers was selected from routes within a territory and the delivery time and the number of cases delivered were measured. a simple linear regression run was performed on this data. use the regression output below to complete a full regression analysis.

regression statistics

multiple r

0.7956

r square

0.6330

adjusted r square

0.6126

standard error

1.9865

observations

20

anova

df

ss

ms

f

significance f

regression

2.15e-15

residual

71.0315

total

2514.4975

coefficients

standard error

t stat

p-value

intercept

24.8345

1.0542

23.5573

5.61e-15

number of cases

0.1400

0.0056

24.8836

2.15e-15

complete the above table

what is the correlation between # of cases and time for delivery?

do you think this model explains enough of variation in delivery time?

interpret the b0 and b1

Answers: 3

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Management of a soft-drink bottling company wished to develop a method for allocating delivery costs...

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