The correlation between X and Y is closest to:

A. −0.7436.

B. 0.7436.

C. 0.8623.

Kenneth McCoin, CFA, is a challenging interviewer. Last year, he handed each job applicant a sheet of paper with the information in Exhibit 1, and he then asked several questions about regression analysis. Some of McCoin’s questions, along with a sample of the answers he received to each, are given below. McCoin told the applicants that the independent variable is the ratio of net income to sales for restaurants with a market cap of more than $100 million and the dependent variable is the ratio of cash flow from operations to sales for those restaurants. Which of the choices provided is the best answer to each of McCoin’s questions?

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Exhibit 1: Regression Analysis Regression Statistics R Standard error Observations Source Regression Residual Total Intercept Net income to sales (%) df 1 22 23 Coefficients 0.077 0.826 Sum of Squares 0.029 0.010 0.040 Standard Error 0.007 0.103 0.7436 0.0213 24 Mean Square 0.029000 0.000455 t-Statistic 11.328 7.988 F 63.81 p-Value p-Value 0 0 0