study investigated the relationship between audit delay and variables that describe the client and the auditor. The file Audit contains data from a sample of 40 companies on the following set of variables: Delay: The length of time from a company's fiscal year-end to the date of the auditor's report. 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 "virtually none"

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A study investigated the relationship between audit delay and variables that describe the client and the auditor. The file Audit contains data from a sample of 40 companies on the following set of variables: Delay: The length of time from a company's fiscal year-end to the date of the auditor's report. 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 "virtually none" (1) to "excellent" (5). Finished: A measure ranging from 1 to 4, as judged by the auditor, where 1 indicates "all work performed subsequent to year-end" and indicates 4 "most work performed prior to year-end." Click on the datafile logo to reference the data. Consider a model in which only Industry is used to predict Delay. At a 0.05 level of significance, test for any positive autocorrelation in the data. Use Table 16.10. - Select your answer - -- No significant positive autocorrelation, No conclusion can be drawn, or Significant positive autocorrelation occurs
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