The owner of a new pizzeria in town wants to study the relationship between weekly revenue and advertising expenditures. All measures are recorded in thousands of dollars. The summary output for the regression model is given below. ANOVA MS 1.79706013 19.00642885 F Answer df SS Regression 12 21.5647215 Residual 40 3.782004793 0.09455012 Total 52 25.34672629 Significance F 7.3924E-13 Step 2 of 3: What is the adjusted coefficient of determination for this model, R?? Round your answer to four decimal places. Keypad Keyboard Shortcuts Tables Submit Answer
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- If your graphing calculator is capable of computing a least-squares sinusoidal regression model, use it to find a second model for the data. Graph this new equation along with your first model. How do they compare?A researcher is hired to investigate the relationship between the number of unauthorized days that employees are absent per year and the distance in miles between home and work for the employees. A sample of 10 employees was chosen and the results are listed in the chart below. Use the proper Data Analysis function in Excel to computethe regression equation needed to predict the number of missed days that could be expected foremployees who live certain distances away from the workplace. Distance to Work (miles): 1, 3, 4, 6, 9, 10, 12, 14, 14, 18 Number of Days Absent: 9, 6, 7, 7, 6, 4, 5, 3, 4, 2A researcher examined the relationship between the annual tax amount paid by the construction company owners and the total expense items spent for the construction with regression analysis and calculated the regression line estimation as Y=6+2X. According to this; Write the interpretations of the cutoff and regression parameters, respectively, in your OWN SENTENCES in a statistically appropriate way over the tax amount and expenses.
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- An automotive sales manager wishes to examine the relationship between age (years) and sales price ($) for used automobiles of a certain brand. The accompanying table contains data for a sample of a certain make and model that were listed for sale at a car shopping website. b. Fit a quadratic regression model to predict price and state the quadratic regression equation.Why do we have in general, two lines of regression? Obtain the regression of Y on X and X on Y from the following table and estimate the blood pressure when the age is 45. Also give the interpretation.A prospective MBA student wanted to predict starting salary upon graduation, based on program per-year tuition (stored in FTMBA). Using the results of that problem, a. determine the coefficient of determination, r², and interpret its meaning. b. determine the standard error of the estimate. c. How useful do you think this regression model is for predicting starting salary?