Question: A study investigated the relationship between audit delay (the length of time from a companys fiscal year-end to the date of the auditors report) and

A study investigated the relationship between audit 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 this 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.
Quality A measure of overall quality of internal controls, as judged by the auditor, on a five-point scale ranging from €œvirtually none€ (1) to €œexcellent€ (5).
Finished A measure ranging from 1 to 4, as judged by the auditor, where 1 indicates €œall work performed subsequent to year-end€ and 4 indicates €œmost work performed prior to year-end.€
A sample of 40 companies provided the following data:
A study investigated the relationship between audit delay (the length
A study investigated the relationship between audit delay (the length

a. Develop the estimated regression equation using all of the independent variables included in the data.
b. Test for an overall regression relationship at the 0.05 level of significance. Is there a significant regression relationship?
c. How much of the variation in the sample values of delay does this estimated regression equation explain? What other independent variables could you include in this regression model to improve the fit?
d. Test the relationship between each independent variable and the dependent variable at the 0.05 level of significance, and interpret the relationship between each of the independent variables and the dependent variable.
e. On the basis of your observations about the relationships between the dependent variable
Delay and the independent variables Quality and Finished, suggest an alternative regression equation to the model developed in part a to explain as much of the variability in Delay as possible.

o 1.1 3 2 2 1 4 2 2 1 3 2 3 3 2 2142222132223112 a 332-143515321-22 5 2-5 23243535-5 b 010-0001000100000000010010000- 2 62 45 91 62 61 $ SO 52 47 65 60 73 76 68 68 86 76 67 57 ss 645796668546687877 6 6 8 7 6 5 5 5 6897 IS 3242414321 4245141455 1000000100 5919012625 7677899

Step by Step Solution

3.32 Rating (167 Votes )

There are 3 Steps involved in it

1 Expert Approved Answer
Step: 1 Unlock

a The following Excel output provides the estimated multiple linear regression equation that could be used to predict delay given the industry dummy variable x1 the public dummy variable x2 quality x3 ... View full answer

blur-text-image
Question Has Been Solved by an Expert!

Get step-by-step solutions from verified subject matter experts

Step: 2 Unlock
Step: 3 Unlock

Document Format (1 attachment)

Word file Icon

611-M-S-L-R (5229).docx

120 KBs Word File

Students Have Also Explored These Related Statistics Questions!