In: Statistics and Probability
Invoices | Time |
103 | 1.5 |
173 | 2.0 |
149 | 2.1 |
193 | 2.5 |
169 | 2.5 |
29 | 0.5 |
188 | 2.3 |
19 | 0.3 |
201 | 2.7 |
58 | 1.0 |
110 | 1.5 |
83 | 1.2 |
60 | 0.8 |
25 | 0.4 |
60 | 1.8 |
190 | 2.9 |
233 | 3.4 |
289 | 4.1 |
45 | 1.2 |
70 | 1.8 |
241 | 3.8 |
163 | 2.8 |
120 | 2.5 |
201 | 3.3 |
135 | 2.0 |
80 | 1.7 |
77 | 1.7 |
222 | 3.1 |
181 | 2.8 |
30 | 1.0 |
61 | 1.9 |
120 | 2.6 |
You are an accountant for a large department store and have been given the assignment of developing a model to predict the amount of time it takes to process invoices. Data is collected daily for 32 consecutive working days, and the number of invoices processed and completion time (in hours) are stored under the tab Invoice in the Excel data file for this homework.
a. Create the appropriate scatter plot and calculate the coefficient of correlation. Comment on the results. Does it appear a linear relationship exists?
b. Use the least-squares method to compute the regression coefficients b0 and b1.
c. Interpret the meaning of b0 and b1 in this problem.
d. What if the predicted mean amount of time it would take to process 150 invoices? Include a confidence interval for this prediction.
e. Determine the coefficient of determination, R2, and explain its meaning in this problem.
g. Perform a complete residual analysis. Does the analysis support all the assumptions required for a valid model? Explain.
h. Based on your results in part g, what can you say about the validity of the prediction you made in part c?
h. What conclusions can you reach about the relationship between then number of invoices processed and the completion time? What actions, if any, would you take next?