# Question

In a manufacturing process the assembly line speed (feet per minute) was thought to affect the number of defective parts found during the inspection process. To test this theory, managers devised a situation in which the same batch of parts was inspected visually at a variety of line speeds. They collected the following data.

Line Speed Number of Defective Parts Found

20 ................ 21

20 ................ 19

40 ................ 15

30 ................ 16

60 ................ 14

40 ................ 17

a. Develop the estimated regression equation that relates line speed to the number of defective parts found.

b. At a .05 level of significance, determine whether line speed and number of defective parts found are related.

c. Did the estimated regression equation provide a good fit to the data?

d. Develop a 95% confidence interval to predict the mean number of defective parts for a line speed of 50 feet per minute.

Line Speed Number of Defective Parts Found

20 ................ 21

20 ................ 19

40 ................ 15

30 ................ 16

60 ................ 14

40 ................ 17

a. Develop the estimated regression equation that relates line speed to the number of defective parts found.

b. At a .05 level of significance, determine whether line speed and number of defective parts found are related.

c. Did the estimated regression equation provide a good fit to the data?

d. Develop a 95% confidence interval to predict the mean number of defective parts for a line speed of 50 feet per minute.

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