Wirite an assessment of causal inference of your chosen epidemiological association using one of the three models (the Bradford Hill criteria, Rothman’s Sufficient Component Cause model, orthe consideration of counterfactuals.) Explain how that model addresses causal inference, and provide specific examples from the epidemiological research you selected to support your assessment. Finally, explain which criteria from the model might be missing empirical evidence that would strengthen your conclusion. Justify your explanations and choice of model using scholary references

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.