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Pls helppppp Basics - Problems designed to get you used to running multiple regression and reading/reporting/interpreting basic output. These are randomized so can be regenerated.

Pls helppppp

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Basics - Problems designed to get you used to running multiple regression and reading/reporting/interpreting basic output. These are randomized so can be regenerated. NOTE: In some of these problems, you are asked to report numbers from the output like SSModel or MSError . We have not place a lot of emphasis on these so don't worry about knowing all of their meanings or how to compute them. Just get used to finding the information asked for on the output. We wish to predict the salary for baseball players (y) using the variables RBI (21) and HR (12), then we use a regression equation of the form y = bo + bix1 + b2x2. . HR - Home runs - hits on which the batter successfully touched all four bases, without the contribution of a fielding error. . RBI - Run batted in - number of runners who scored due to a batters's action, except when batter grounded into double play or reached on an error Salary is in millions of dollars. The following is a chart of baseball players' salaries and statistics from 2016. RBI's HR's Salary (in millions) 108 38 28.050 86 31 27.500 59 25 25.000 119 31 25.000 103 39 24.050 44 15 23.125 49 23.000 30 22.750 87 31 22.125 90 21.857 49 21.667 70 21.571 108 21.500 56 21.143 84 38 1.119 80 20.802 17 20.000 79 91 24 20.000 97 31 20.000 20.000 57 44 13 18.500 18.000 104 18.000 86 18.000 100 17.454 62 58 17.000 17.000 100 16.08 127 16.000 83 59 29 16.000 54 16.00 66 15 15.800 17 15.800 68 6.750 84 6.000 48 12 5.950 38 12.000 55 10 76 18 11.000 10.500 90 27 5.100 53 5.000 24 4.550 15 34 14 4.150 3.900 12 3.667 3.300 52 20 2.750 2.600 places. a) Use software to find the multiple linear regression equation. Enter the coefficients rounded to 4 decimal 1 = b) Use the multiple linear regression equation to predict the salary for a baseball player with an RBI of 39 and HR of 25. Round your answer to 1 decimal place, do not convert numbers to dollars. millions of dollars c) Holding all other variables constant, what is the correct interpretation of the coefficient b, = 0.111 in he multiple linear regression equation? If the baseball player's salary increases by 0.111 million dollars, then the predicted RBI will increase by one. For each HR, a baseball player's predicted sallary increases by 0.111 million dollars. For each RBI, a baseball player's predicted sallary Increases by 0.111 million dollars. If the baseball player's salary increases by 0.111 million dollars, then the predicted RBI will increase by 0.0371, d) Holding all other variables constant, what is the the multiple linear regression equation? e coefficient by = 0.0371 in If the baseball player's salary increases by 0.0371 million dollars, then the predicted HR will Increase by 0.1i1. If the baseball player's salary increases by 0.0371 million dollars, then the predicted HR will increase by one

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