6. A study investigated the relationship between audit delay (Delay), the length of time from a company's fiscal year-end to the date of the auditor's report, and variables that describe the client and the auditor. Some of the independent variables that were included in the study follow. Industry: Public: Quality: Finished: A dummy variable coded 1 if the firm was an industrial company or 0 if the firm was a bank, savings and loan, or insurance company. A dummy variable coded 1 if the company was traded on an organized exchange or over the counter, otherwise coded 0. A measure of overall quality of internal controls, as judged by the auditor, on a five-point scale ranging from "virtually none" (1) to "excellent" (5). A measure ranging from 1 to 4, as judged by the auditor, where 1 indicates "all work performed subsequent to year-end" and 4 indicates "most work performed prior to year-end". A sample of 40 companies provided the data Audit. a) Develop the estimated regression equation predicting delay using all the independent variables. b) Test for autocorrelation at 95% confidence level.

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6. A study investigated the relationship between audit delay (Delay), the length of time from a
company's fiscal year-end to the date of the auditor's report, and variables that describe the
client and the auditor. Some of the independent variables that were included in the study
follow.
Industry: A dummy variable coded 1 if the firm was an industrial company or 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.
A measure of overall quality of internal controls, as judged by the auditor, on a
five-point scale ranging from "virtually none" (1) to "excellent" (5).
A measure ranging from 1 to 4, as judged by the auditor, where 1 indicates "all
work performed subsequent to year-end" and 4 indicates "most work performed
prior to year-end".
Quality:
Finished:
A sample of 40 companies provided the data Audit.
a) Develop the estimated regression equation predicting delay using all the independent
variables.
b) Test for autocorrelation at 95% confidence level.
Note: Entries in the table are the critical values for a one-tailed Durbin-Watson test for autocorrelation.
For a two-tailed test, the level of significance is doubled.
n*
15
20
25
30
1
Answer:
Significance Points of d₂ and d: α = .05
Number of Independent Variables
2
3
d₁
du
d₁ du
1.08 1.36
95
1.54
1.20
1.41
1.10
1.54
1.29
1.45
1.21
1.55
1.35
1.49 1.28
1.57
40
1.44 1.54
1.39
1.60
1.34
50
1.46
1.63
1.42
1.50 1.59
70 1.58 1.64 1.55
1.67 1.52
100
1.65 1.69
1.63
1.72
1.61
*Interpolate linearly for intermediate values.
d₁
.82 1.75
1.00
1.68
1.12 1.66
1.21
1.65
du d₁ du
1.97
1.83
1.66
1.67
1.70
1.74
.69
90
1.04
1.14
1.77
1.74
1.29
1.72
1.38
1.72
1.49 1.74
1.59
1.76
d₁
.56
.79
95
1.07
1.23
1.34
1.46
1.57
5
du
2.21
1.99
1.89
1.83
1.79
1.77
1.77
1.78
Transcribed Image Text:6. A study investigated the relationship between audit delay (Delay), the length of time from a company's fiscal year-end to the date of the auditor's report, and variables that describe the client and the auditor. Some of the independent variables that were included in the study follow. Industry: A dummy variable coded 1 if the firm was an industrial company or 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. A measure of overall quality of internal controls, as judged by the auditor, on a five-point scale ranging from "virtually none" (1) to "excellent" (5). A measure ranging from 1 to 4, as judged by the auditor, where 1 indicates "all work performed subsequent to year-end" and 4 indicates "most work performed prior to year-end". Quality: Finished: A sample of 40 companies provided the data Audit. a) Develop the estimated regression equation predicting delay using all the independent variables. b) Test for autocorrelation at 95% confidence level. Note: Entries in the table are the critical values for a one-tailed Durbin-Watson test for autocorrelation. For a two-tailed test, the level of significance is doubled. n* 15 20 25 30 1 Answer: Significance Points of d₂ and d: α = .05 Number of Independent Variables 2 3 d₁ du d₁ du 1.08 1.36 95 1.54 1.20 1.41 1.10 1.54 1.29 1.45 1.21 1.55 1.35 1.49 1.28 1.57 40 1.44 1.54 1.39 1.60 1.34 50 1.46 1.63 1.42 1.50 1.59 70 1.58 1.64 1.55 1.67 1.52 100 1.65 1.69 1.63 1.72 1.61 *Interpolate linearly for intermediate values. d₁ .82 1.75 1.00 1.68 1.12 1.66 1.21 1.65 du d₁ du 1.97 1.83 1.66 1.67 1.70 1.74 .69 90 1.04 1.14 1.77 1.74 1.29 1.72 1.38 1.72 1.49 1.74 1.59 1.76 d₁ .56 .79 95 1.07 1.23 1.34 1.46 1.57 5 du 2.21 1.99 1.89 1.83 1.79 1.77 1.77 1.78
Delay Industry
62
45
54
71
91
62
61
69
08
47
65
60
81
73
89
71
76
89
89
86
f
67
57
0
0
0
0
0
0
0
0
0
0
0
1
Public Quality Finished
0
1
0
2152324
1322IINNIMAMMANHINANA-MANNSINNMATN
Transcribed Image Text:Delay Industry 62 45 54 71 91 62 61 69 08 47 65 60 81 73 89 71 76 89 89 86 f 67 57 0 0 0 0 0 0 0 0 0 0 0 1 Public Quality Finished 0 1 0 2152324 1322IINNIMAMMANHINANA-MANNSINNMATN
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