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Check my work mode : This show O A regression model to predict Y, the state-by-state 2005 burglary crime rate per 100,000 people, used the

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Check my work mode : This show O A regression model to predict Y, the state-by-state 2005 burglary crime rate per 100,000 people, used the following four state predictors X, = median age in 2005, X2 = number of 2005 bankruptcies per 1,000 people, X, = 2004 federal expenditures per capita. and XA = 2005 high school graduation percentage. point Predictor Coefficient Intercept 4,414.1682 AgeMed -25.674 Bankrupt 17.8059 FedSpend -0.0313 HSGradx 30.1905 (a) Write the fitted regression equation. (Round your answers to 4 decimal places. Negative values should be Indicated by a minus sign.) y =-AgeMed- Bankrupt - FedSpend- HSGrad% (b-1) The 2005 state-by-state crime rate per 100,000 decreases by about 26 as the state median age increases. Increases by about 26 as the state median age Increases. (b-2) The 2005 state-by-state crime rate per 100,000 Increases by about 18 for every 1,000 new bankruptcies filed. decreases by about 18 for every 1.000 new bankruptcies filed. b-3) The 2005 state-by-state crime rate per 100,000 decreases by 0.0313 for each dollar increase in federal funding per person. increases by 0.0313 for each dollar increase in federal funding per person. (b-4) The 2005 state-by state crime rate per 100,000 decreases by about 30 for each 1% Increase in high school graduations. Increases by about 30 for each 1% increase in high school graduations. (c) Would the intercept seem to have meaning in this regression? No Yes (d) Make a prediction for Burglary when X - 35 years. X, -6.4 bankruptcies per 1.000. X -$6.283. and X - 89 percent (Round your answers to 4 decimal places.) Burglary Rate W and Swingline hello fitQuestion 10 - Wk 5 - Practice: W X C "ezto.mheducation.com/ext/map/index.html?_con=con&external_browser=0&launchUrl=https%253A 5 -Practice: Wk 5 Exercises [due Day 5] () 10 Observations are taken on sales of a certain mountain bike In 28 sporting goods stores. The regression model was Y= total sales (thousands of dollars). X, = display floor space (square meters), X2 = competitors' advertising expenditures (thousands of dollars), X} = advertised price (dollars per unit). (a) Fill In the values In the table given here. (Negative values should be indicated by a minus sign. Leave no cells blank - be certain to enter "0" wherever required. Round your t-values to 3 decimal places and p-values to 4 decimal places.) Predictor Coefficient SE p-value =Book Intercept 1, 270.4 326.8 FloorSpace 11.432 1.55 Competing Ads -6.257 3.911 Reference Price -0.14305 0.08502 (b-1) What Is the critical value of Student's tin Appendix D for a two-talled test at a = 01? (Round your answer to 3 decimal places.) t-value = (b-2) Choose the correct option. O Only Price differs significantly from zero. Only FloorSpace differs significantly from zero. Only CompetingAds differs significantly from zero. O 90 w O Swingline hello fit

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