Trine U Relationship between Audit Delay and Companys Fiscal Year Case Study
Question Description
Astudy investigated the relationship between audit delay (Delay), thelength of time from a company’s fiscal year-end to the date of theauditor’s report, and variables that describe the client and theauditor. The independent variables are as follows.
| Industry | A dummy variable coded 1 if the firm was an industrial companyor 0 if the firm was a bank, savings and loan, or insurance company. |
| Public | A dummy variable coded 1 if the company was traded on an organized exchange or over the counter; otherwise coded 0. |
| Quality | A measure of overall quality of internal controls, as judged bythe auditor, on a five-point scale ranging from “virtually none” (1) to”excellent” (5). |
| Finished | A measure ranging from 1 to 4, as judged by the auditor, where 1indicates “all work performed subsequent to year-end” and 4 indicates”most work performed prior to year-end.” |
A sample of 40 companies provided the following data.
| Delay | Industry | Public | Quality | Finished |
| 62 | 0 | 0 | 3 | 1 |
| 45 | 0 | 1 | 3 | 3 |
| 54 | 0 | 0 | 2 | 2 |
| 71 | 0 | 1 | 1 | 2 |
| 91 | 0 | 0 | 1 | 1 |
| 62 | 0 | 0 | 4 | 4 |
| 61 | 0 | 0 | 3 | 2 |
| 69 | 0 | 1 | 5 | 2 |
| 80 | 0 | 0 | 1 | 1 |
| 52 | 0 | 0 | 5 | 3 |
| 47 | 0 | 0 | 3 | 2 |
| 65 | 0 | 1 | 2 | 3 |
| 60 | 0 | 0 | 1 | 3 |
| 81 | 1 | 0 | 1 | 2 |
| 73 | 1 | 0 | 2 | 2 |
| 89 | 1 | 0 | 2 | 1 |
| 71 | 1 | 0 | 5 | 4 |
| 76 | 1 | 0 | 2 | 2 |
| 68 | 1 | 0 | 1 | 2 |
| 68 | 1 | 0 | 5 | 2 |
| 86 | 1 | 0 | 2 | 2 |
| 76 | 1 | 1 | 3 | 1 |
| 67 | 1 | 0 | 2 | 3 |
| 57 | 1 | 0 | 4 | 2 |
| 55 | 1 | 1 | 3 | 2 |
| 54 | 1 | 0 | 5 | 2 |
| 69 | 1 | 0 | 3 | 3 |
| 82 | 1 | 0 | 5 | 1 |
| 94 | 1 | 0 | 1 | 1 |
| 74 | 1 | 1 | 5 | 2 |
| 75 | 1 | 1 | 4 | 3 |
| 69 | 1 | 0 | 2 | 2 |
| 71 | 1 | 0 | 4 | 4 |
| 79 | 1 | 0 | 5 | 2 |
| 80 | 1 | 0 | 1 | 4 |
| 91 | 1 | 0 | 4 | 1 |
| 92 | 1 | 0 | 1 | 4 |
| 46 | 1 | 1 | 4 | 3 |
| 72 | 1 | 0 | 5 | 2 |
| 85 | 1 | 0 | 5 | 1 |
Enter negative values as negative, if necessary.
- Develop an estimated regression equation that can be used to predictDelay by using Industry and Quality (to 2 decimals, if necessary).
Delay =
+ Industry + Quality - A plot of the residuals as a function of the order in which the data are presented is shown below.
Does this suggest any autocorrelation present in the data?
dL =
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