A statistical program is recommended.A study of emergency service facilities investigated the relationship between the number of facilities and the average distance traveled to provide the emergency service. The following table gives the data collected.AverageNumber ofFacilitiesDistance(miles)1.67111.11160.82210.62270.50300.47(a) Develop a scatter diagram for these data, treating average distance traveled as the dependent variable.1.81.8351.8-1.61.61.61.4301.41.4a 1.21.2251.21.1.E 1.0.8200.80.8-0.60.6-150.6-0.4-0.4-0.40.2100.2-0.50.21015202530350.50.1015202530350.0.2 0.4 0.6 0.81. 1.2 1.4 1.6 1.8101520253035NumberNumberDistanceNumber(b) Does a simple linear regression model appear to be appropriate? Explain.O Yes, the scatter diagram suggests that there is a linear relationship.O No, the scatter diagram suggests that there is a curvilinear relationship.O No, the scatter diagram suggests that there is no relationship.(c) Develop an estimated regression equation for the data of the form ý = b, + b,x + b,x2: a second-order model with one predictor variable. (Round your numerical values to four decimal places.)ŷ = 2.928 – .188b,x +.003589xDistance

(c) Let x be the number of facilities and y be the average distance. The regression analysis is…

(e) Develop an estimated regression equation for the data of the form ý - bg + bạx + bụ: a second-order mode d with one predictor variable. (Round your numerical values to four decimal places.) 9- 2.928 - 1885,x - .003589x

(e) Develop an estimated regression equation for the data of the form ý - bg + bạx + bụ: a second-order mode d with one predictor variable. (Round your numerical values to four decimal places.) 9- 2.928 - 1885,x - .003589x

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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How to know if obtaining a regression equation for the data appear reasonable?
Find the regression equation, letting the first variable be the predictor (x) variable. Using the listed lemon/crash data, where lemon imports are in metric tons and the fatality rates are per 100,000 people, find the best predicted crash fatality rate for a year in which there are 500 metric tons of lemon imports. Is the prediction worthwhile? Find the equation of the regression line. (Round the constant three decimal places as needed. Round the coefficient to six decimal places as needed.) The best predicted crash fatality rate for a year in which there are 500 metric tons of lemon imports is _______ fatalities per 100,000 population. (Round to one decimal place as needed.) Is the prediction worthwhile? A. Since the sample size is small, the prediction is not appropriate. B. Since common sense suggests there should not be much of a relationship between the two variables, the prediction does not make much sense. C. Since all of the requirements…
1.64 and 1.63 is incorrect please help ()()))
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