Following data refers to the years of service (variable X) put in by seven specialized workers in a factory and their monthly incomes (variable Y). X variable values with corresponding Y variable values can be listed as, 11 years of service with income 700, 7 years of service with income 500, 9 years of service with income 300, 5 years of service with income 200, 8 years of service with income 600, 6 years of service with income 400, 10 years of service with income 800. Regression equation y on x is Select one: a. y=4/3x-1 b. y=3/4x-1 c. y=3/4x+1 d. y=1-3/4x A

Find the mean hourly cost when the cell phone described above is used for 240 minutes.

Is it possible to predict the annual number of business bankruptcies by the number of firm births (business starts) in the United States? The following data published by the U.S. Small Business Administration, Office of Advocacy, are pairs of the number of business bankruptcies (1,000s) and the number of firm births (10,000s) for a six-year period. Business Bankruptcies (1,000) 34.3 Firm Births (10,000) 58.1 35.0 55.4 38.5 57.0 40.1 58.5 35.5 57.4 37.9 58.0 i) Based on the output given, use these data to develop the equation of the regression model to predict the number of business bankruptcies by the number of firm births. ii) Explain the values of r and r. iii) Predict the number of business bankruptcies if the number of firm births is 54.0 (10,000s). iv) Do the data support the existence of a linear relationship between the number of firm births and the number of business bankruptcies? Test using a = 0.05. OUTPUT Model Summary Std. Error of the Estimate Adusted R Model R R Square…