Compute the regression statistics and predictive function for this data; Identify R square (R 2 ) and
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Question:
- Compute the regression statistics and predictive function for this data;
- Identify R square (R2) and the standard error of the estimate;
- What is the estimated overhead if 1,000 units are produced?
- What is the 95% prediction interval for the true overhead when the number of units produced is 1,000?
- What is the "residual" for the fifth observation (round to two decimal places)?
Month | Units produced | Manuf. Overhead |
1 | 500 | 131,000 |
2 | 600 | 135,000 |
3 | 400 | 104,000 |
4 | 300 | 76,000 |
5 | 800 | 186,000 |
6 | 900 | 190,100 |
7 | 600 | 150,000 |
8 | 400 | 98,000 |
9 | 300 | 78,000 |
10 | 200 | 60,000 |
11 | 400 | 108,000 |
12 | 600 | 152,000 |
13 | 700 | 158,000 |
14 | 500 | 134,380 |
15 | 300 | 86,000 |
16 | 200 | 60,000 |
Related Book For
Management Accounting
ISBN: 978-0132570848
6th Canadian edition
Authors: Charles T. Horngren, Gary L. Sundem, William O. Stratton, Phillip Beaulieu
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