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Use technology to find (a) the multiple regression equation for the data shown in the accompanying table, (b) the standa

Posted: Sun Jul 10, 2022 10:51 am
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Use Technology To Find A The Multiple Regression Equation For The Data Shown In The Accompanying Table B The Standa 1
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Use technology to find (a) the multiple regression equation for the data shown in the accompanying table, (b) the standard error estimate and interpret the result and (c) the coefficient of determination and interpret the result. The accompanying table shows the total square footages (in billions) of retailing space at shopping centers, the numbers (in thousands) of shopping centers, and the sales (in billions of dollars) for shopping centers for eight years. Click the icon to view the data table on shopping center sales. IN Of VI voy m wati *** (a) What is the regression equation? ŷ-0+0+0x₂ (Round to two decimal places as needed.) rmi Shopping center sales Sales y Total square footage, x₁ Shopping centers, X₂ 1237 211 3 385 4 475 8 641.4 716 6 768 5 806 3 851 2893 9 933 8 13 21 32 3.7 4.0 4.6 47 4.8 4.9 50 5.1 13.6 177 22 5 25.2 32.5 38.1 39.1 39.8 403 41.6 42 1 Print Done
(b) The standard error is (Round to two decimal places as needed.) Interpret the standard error. Choose the correct answer below A. The standard error is the sum of unexplained error in the multiple regression model OB. The standard error is the average predicted sales for the multiple regression model. OC. The standard error is the expected error of the predicted sales given a specific total square footage and number of shopping centers. OD. The standard error is the percent of error explained by the multiple regression model (c) The coefficient of determination is (Round to three decimal places as needed.) Interpret the coefficient of determination. Choose the correct answer below. OA The coefficient of determination is the expected error of the predicted sales given a specific total square footage and number of shopping centers. OB. The coefficient of determination is the average predicted sales for the multiple regression model. OCThe coefficient of determination is the percent of error not explained by the multiple regression model. OD. The coefficient of determination is the percent of error explained by the multiple regression model