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# Unit 6: Multiple Regression Introduction The Staffing Problem (II) Introducing Multiple Regression Summary Adapting Basic Concepts Interpreting the...

Mathematical process and interpretation should be located outside the question text-box. I should be able to click on each respective answer and see the mathematical process in the fx-bar.

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Unit 6: Multiple Regression Introduction The Staffing Problem (II) Introducing Multiple Regression Summary Adapting Basic Concepts Interpreting the Multiple Regression Equation Summary Performing in Excel Residual Analysis Summary Quantifying the Predictive Power of Multiple Regression Summary Solving the Staffing Problem (II) Exercise 1: Empire Learning Exercise 2: The Empire Strikes Back Challenge: Children of the Empire New Concepts in Multiple Regression The Staffing Problem (III) Multicollinearity Diagnosing and Treating Multicollinearity Summary Lagged Variables Summary Dummy Variables Summary Solving the Staffing Problem (III) Exercise 1: The Kiwana Quandary Exercise 2: The Return of the Empire At left you will see an outline of the topics covered in Unit 6: Multiple Regression. There are two homework problems associated with this unit. There is one tab for each problem in this workbook. Once you have completed the unit online, you should attempt these problems and submit them to your coach for assessment and feedback.
1 Page 2 MPG Horsepower Weight 43.1 48 1985 19.9 110 3365 19.2 105 3535 17.7 165 3445 18.1 139 3205 20.3 103 2830 21.5 115 3245 16.9 155 4360 15.5 142 4054 18.5 150 3940 27.2 71 3190 41.5 76 2144 46.6 65 2110 23.7 100 2420 27.2 84 2490 39.1 58 1755 28.0 88 2605 24.0 92 2865 20.2 139 3570 20.5 95 3155 28.0 90 2678 34.7 63 2215 36.1 66 1800 35.7 80 1915 20.2 85 2965 23.9 90 3420 29.9 65 2380 30.4 67 3250 36.0 74 1980 22.6 110 2800 36.4 67 2950 27.5 95 2560 33.7 75 2210 44.6 67 1850 32.9 100 2615 38.0 67 1965 24.2 120 2930 38.1 60 1968 39.4 70 2070 25.4 116 2900 31.3 75 2542 34.1 68 1985 34.0 88 2395 31.0 82 2720 27.4 80 2670 22.3 88 2890 28.0 79 2625 17.6 85 3465 34.4 65 3465 20.6 105 3380 A consumer organization wants to develop a regression model to predict gasoline mileage (MPG) based on the horsepower of the car's engine and the weight of the car (in pounds). A sample of 50 recent car models was selected, with the results shown at left. Q-12a: Write the multiple regression equation. (Use four decimals of precision.) Q-12b: Interpret the meaning of the slope for horsepower in this model. Q-12c: Interpret the meaning of the slope for weight in this model. Q-12d: Predict the miles per gallon for a car that has 60 horsepower and weighs 2000 pounds. (Use one decimal of precision.)
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Unit 6: Multiple Regression
Introduction The Staffing Problem (II)
Introducing Multiple Regression
Summary Adapting Basic Concepts Interpreting the Multiple Regression Equation
Summary
Performing...

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