What would you predict the defect to be on a day


You obtain the following regression statistics for the relationship between defect rate and volume at one of your plants. You have a random sample of results from 160 shifts at the plant.

a. What are the null and alternative hypotheses?

b. What is the population of interest? What is the sample?

c. On the basis of the output, what can you conclude about the null hypothesis?

d. Can you reject the null hypothesis that the slope is 0?

e. Can you reject the null hypothesis that there is no linear relationship between the dependent and independent variables?

f. Can you reject the null hypothesis that the population correlation coefficient is 0?

g. What would you predict the defect to be on a day when the volume is 4200 units? What would you predict the average defect rate to be for all days with production volumes of 4200?

h. In what way do the two estimates of the defect rate in question 3g differ? (Calculations is not required.)

 

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Basic Statistics: What would you predict the defect to be on a day
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