Why would a manager choose to use multiple regression rather than simple linear regression? The R-squared value is not used to assess the predictability of the model. Additional independent variables may help predict the dependent variable. The predictor variable is used to predict the outcome of y. To increase the quality of the data used to develop cost equations. Custom Manufacturing Corporation is trying to predict its manufacturing overhead costs for the upcoming year; they are debating the use of the high-low method versus the use of regression analysis. They have gathered information about their manufacturing overhead costs in each of the past six months. A table containing their cost data and the associated machine hours in each month (the cost driver) follows: (Note: if copying the data from the table below from Blackboard does not work, entering the data manually in the Excel file will work) After running an excel regression, the results indicate that the X variable 1 is (i.e., use the format 0.7616 for example) Using the high-fow method, what would the total maintenance costs be if 17,900 machine hours were used? (Round any intermediary calculations to the nearest cent.) $1,575 $13,425 $14,925 D) $31,425