intercept 15 . I 1. 10 Education -0. 42 0. 09 -4. 67 5. 45E-10 Income -0.4 0. 02 -20 6. 02E-10 Morality 0. 14 0. 15 0.93 0. 6438 What is the poverty rate for a state where 60% of the population has at least a high school education, the median income is $49,000, and the mortality rate is 11 per 1,000 residents? Multiple Choice O 15.44% O 17.34% O 19.44% O 21.54%TB MC Qu. 14-104 (Algo) A sociologist examines the relationship between... A sociologist examines the relationship between the poverty rate and several socioeconomic factors. For the 50 states and the District of Columbia (n = 51), he collects data on the poverty rate (y, in %), the percent of the population with at least a high school education (x1), median income (X2, in $1000s), and the mortality rate per 1,000 residents (x3). He estimates the following model as = Bg + B1 Education + B2 Income + B3 Mortality + &. The following ANOVA table shows a portion of the regression results. df SS MS F Regression 3 415.3 138. 43 92.9 Residual 47 70.2 1. 49 Total 50 485.5 Coefficients Standard Error t-stat p-value Intercept 60.6 4 15. 15 1. 65E-16 Education -0.42 0. 09 -4. 67 5. 45E-10 Income -0.4 0. 02 -20 6. 02E-10 Morality 0. 14 0. 15 0.93 0. 6438 What is the poverty rate for a state where 60% of the population has at least a high school education, the median income is $49,000, and the mortality rate is 11 per 1,000 residents? Multiple Choice O 15.44%Residual 23 503.75 21.9 Total 24 582.01 Coefficients Standard Error t-stat p-value Intercept 38.3 13.96 2. 744 0. 005 Advertising 2. 68 1. 41 -1. 901 0. 0625 Which of the following is the predicted Sales for a firm with Advertising of $610? Multiple Choice O $38,300 O $1673.1 O $146,200 O $52,700TB MC Qu. 14-85 (Algo) A marketing analyst wants to examine... A marketing analyst wants to examine the relationship between sales (in $1,000s) and advertising (in $100s) for firms in the food and beverage industry and collects monthly data for 25 firms. He estimates the model: Sales = Bo +B1 Advertising + E. The following ANOVA table shows a portion of the regression results. df SS MS F Regression 1 78.26 78. 26 3.57 Residual 23 503.75 21.9 Total 24 582. 01 Coefficients Standard Error t-stat p-value Intercept 38.3 13.96 2. 744 0. 005 Advertising 2. 68 1. 41 -1.901 0. 0625 Which of the following is the predicted Sales for a firm with Advertising of $610? Multiple Choice O $38,300 O $1673.1