Hello I need in SPSS when possible please This has been answ
Hello
I need in SPSS when possible please, This has been answered on Chegg but may used excel instead of SPSS.
Shipping Costs
The staff of a grocery products manufacturer is developing a model for the production and distribution of its cereal products. The model requires transportation costs for a very large number of origins and destinations. It is impractical to do the detailed tariff analysis for every possible combination, so a random sample of 50 routes is selected. For each route, the mileage and the shipping rate (in dollars per 100 pounds) are found. The data are in a file named shipping costs.sav.
Graph the data. Does it appear that shipping rate can be predicted by mileage?
Find the equation of a straight line that describes how shipping rate varies with mileage.
Test the null hypothesis that shipping rate is unaffected by mileage. State your conclusion.
What is the effect of each additional mile on the shipping rate? Give a 95% confidence interval estimate.
One of the staff members objects that the equation doesn’t make sense. If the mileage is zero, then shipping rates should also be zero, she reasons. Give an explanation why the intercept of the equation is not zero.
Test the null hypothesis that the intercept is zero in the population of all routes, i.e., that the reason that the intercept is not zero for this sample is just sampling error. State your conclusion.
What is the mean shipping rate for routes that are 300 miles long? Give a 95% confidence interval.
One possible route is 350 miles long. Give an estimate of its shipping rate, using a 95% confidence interval.
Here is the data:
50 12.7
60 13.0
80 13.7
80 14.1
90 14.6
90 14.1
100 15.6
100 14.9
100 14.5
110 15.3
110 15.5
110 15.9
120 16.4
120 11.1
120 16.0
120 15.8
130 16.0
130 16.7
140 17.2
150 17.5
170 18.6
190 19.3
200 20.4
230 21.8
260 24.7
300 24.7
330 18.0
340 27.1
370 28.2
400 30.6
440 31.8
440 32.4
480 34.5
510 35.0
540 36.3
600 41.4
650 46.4
700 45.8
720 46.6
760 48.0
800 51.7
810 50.2
850 53.6
920 57.9
960 56.1
1050 58.7
1200 75.8
1650 89.0
300
350
Solution

