A soft drink bottling company wants to develop a regression model to predict delivery time (in minutes) based on the number of cases delivered. A sample of 16 deliveries was selected. The Excel output for this regression model is given below. (a) State the regression equation. (b) Interpret the meaning of b0 and b1 in this problem. (c) What is the predicted delivery time when the number of cases is 30 , assuming 30 is within the range of number of cases delivered for this problem? (d) At the 0.05 level of significance, is there evidence of a linear relationship between the number of cases delivered and the delivery time? (e) Construct a 95% confidence interval estimate of the population slope β1. Interpret the confidence interval estimate. (f) How useful do you think this regression model is for predicting the delivery times?
A soft drink bottling company wants to develop a regression model to predict delivery time (in minutes) based on the number of cases delivered. A sample of 16 deliveries was selected. The Excel output for this regression model is given below.
(a) State the regression equation.
(b) Interpret the meaning of b0 and b1 in this problem.
(c) What is the predicted delivery time when the number of cases is 30 , assuming 30 is within the
(d) At the 0.05 level of significance, is there evidence of a linear relationship between the number of cases delivered and the delivery time?
(e) Construct a 95% confidence
(f) How useful do you think this regression model is for predicting the delivery times?
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(d) At the 0.05 level of significance, is there evidence of a linear relationship between the number of cases delivered and the delivery time?
(e) Construct a 95% confidence
(f) How useful do you think this regression model is for predicting the delivery times?
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