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. The independent variables are as follows. 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 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 predict Delay 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? At the .05 level of significance, test for any positive autocorrelation in the data. dL = dU = The test inconclusive.

What is nonconformity, and how might this impact processes in health services organizations?As you have examined in this course, the technique of SPC is useful in determining which processes are in control and which ones are failing or not achieving desired and necessary results. C and u charts are appropriate for determining nonconformities and in assessing SPC for attribute variables. In order to ensure quality in a health services organization, determining where nonconformities may occur is useful in maximizing effective health care delivery.For this Discussion, review the resources regarding these control charts. Then reflect on how your organization or one with which you are familiar might use the control chart to evaluate whether a process is in control.NOTE: For this Discussion, you will be required to run the SPSS software platform.DESCRIBE OF ONE OF THE CONTROL CHARTS PRESENTED IN THE RESOURCES FOR THIS WEEK AND EXPLAIN A PROCESS WHERE IT MIGHT BE USED. BE SPECIFIC AND PROVIDE EXAMPLES. CREATE THE APPROPRIATE CONTROL CHART FOR THE PROCESS YOU DISCUSSED USING FICTITIOUS DATA. ATTACH THIS CHART TO YOUR DISCUSSION. DO NOT USE REAL DATA. EXPLAIN WHETHER THE PROCESS YOU CHOSE IS UNDER CONTROL OR NOT, AND EXPLAIN WHY.Ross, T. K. (2014). Health care quality management: Tools and applications. San Francisco, CA: Jossey-Bass.Chapter 8, "Statistical Process Control for Monitoring Nonconformities” (pp. 301–332)U.S. Department of Commerce, National Institute of Standards and Technology. (2016). NIST/SEMATECH e-handbook of statistical methods. Retrieved from http://www.itl.nist.gov/div898/handbookChapter 6.3.3, “Attributes Control Charts”