The owner of an electronics shop creates a regression

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37) The owner of an electronics shop creates a regression model to help determine the price of a TV based on the size of its screen (in square inches), the quality of its picture (rated on a scale of 1 to 10 by a panel of judges) and the quality of its
sound (also rated on a scale of 1 to 10 by a panel of judges). The regression equation is: Price=256+1.60(ScreenSize)+0.55(PictureQuality) +0.32(SoundQuality) Which is the dependent variable?
38) The owner of an electronics shop creates a regression model to help determine the price of a TV based on the size of its screen (in square inches), the quality of its picture (rated on a scale of 1 to 10 by a panel of judges) and the quality of its sound (also rated on a scale of 1 to 10 by a panel of judges). The regression equation is: Price=256+1.60(ScreenSize)+0.55(PictureQuality) +0.32(SoundQuality) What is the coefficient for PictureQuality PictureQuality?
39) Below is a regression output table based on data from the 2014 Major League Baseball (MLB) season. The dependent variable is Win Percentage (the percentage of games won by MLB
teams) in 2014. The independent variables are as follows: Runs (the average number of runs the team scored per game); ERA (the average number of runs the team allowed the opposing team to score per game); Completed Games (the total number of games with only one pitcher for the entire game); and strikeouts (the total number of strikeouts for the season). Which of the following independent variables are significant at the p < .05 level? Completed_Games Runs ERA correct Strikeouts
40) A grocery store owner wants to analyze how weather, day of the week, and time of day are related to the number of transactions completed per hour. Which of the following hypothesis tests is NOT conducted in the multiple regression model that contains these variables?

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