Mechele Neal Statistics Assignment 4d Problems 14.15, 14.28, 14.30, 14.35, 14.44 and 14.50 14.15 What is the SStotal? The sum of squares total, SStotal, represents the worst-case scenario, the total error we would have in our predictions if there was no regression equation and we had to predict the mean for everybody. 14.28 Write the equation for the line of prediction using the following output from a multiple regression analysis: ModelUnstandardized CoefficientsStandardized Coefficients t 3.333 4.313 -1.704 Sig 0.001 0.000 0.093BStd ErrorBeta 1 (Constant) Variable 1 Variable 2 3.977 .414 -0.019 1.193 0.096 0.011 0.458 -.181Dependant variable : Outcome (Y) 14.30 Use the equation for the line you created in Exercise 1 4.28 to make predictions for each of the following: a. Variable 1 = 6, variable 2 = 60 b. Variable 1 = 9, variable 2 = 54.3 c. Variable 1 = 1 3, variable 2 = 44.8 1 4.35 Running a football stadium for an NFL team involves innumerable predictions. For example, when stocking up on food and beverages for sale at the game, it helps to have an idea of how much will be sold. In the football stadiums in colder climates, stadium managers use expected outdoor temperature to predict sales of hot chocolate. a. What is the independent variable in this example? Outdoor temperature b. What is the dependent variable? How many hot chocolates expected to be sold c. As the value of the independent variable increases, what can we predict would happen to the value of the dependent variable? Increase in outdoor temperature will decrease hot chocolates sold. d. What other variables might predict this dependent variable? Name at least three. How many people came to the game, how many people like hot chocolate, how much money people have to spend at the game. 1 4.44 Exercises 1 4.39, 1 4.41 , and 14.43 used the example from How It Works 1 3.2 on whether age can predict how much people study. Here are the data once again. Number...
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