In a quest to determine if income level and education level are possible predictors of crime rate, suppose a researcher conducted a multiple regression analysis whose partial output is given below: df 55 MS F Regression Residual Total Round your' answers to 2 decimal places a) The standard error of the estimate is C] b) The coefficient of determination tells us that, in this model: O 31% of the variation in crime rate is not explained O 31% of the variation in income level is explained by education level and vice versa 0 69% of the variation in crime rate is not explained O 69% of the variation in crime rate is explained Consider an anlalysis of a multiple regression model with 28 observations and 6 independent variables, SST : 410 and SSE : 141.45. a) What is the coefficient of determination? Round to 3 decimal places. b) What percent of the variation in the dependent variable is not explained by 6 the independent variables in the model? Do not round your' answer'. :j% c) What is the value of the adjusted coefficient of determination? Round to 3 decimal places. In order to determine the relationship between the number of units sold of a company's product (y) in 12 cities with their major competitor's price (3:1) in dollars, and the number of stores (.7132) the competitor has in each city, the following data were collected. Units sold Competitor Competitor Prlce Stores 600 40 2 510 35 5 510 35 5 590 36 1 540 40 5 615 45 3 590 40 2 680 45 0 600 41 2 570 39 4 550 35 3 650 45 1 Generate a linear multiple regression output for the data. a) Report the regression coefficients accurate to 3 decimal places: b) Report the coefficient of determination accurate to 3 decimal places