You have been asked to develop a multiple regression model to predict the traffic fatality rate per 100 million miles in 2007 (y). The data table available b contains traffic data for ten regions for the year 2007. Consider the possible predictor variables per capital disposable income (x₁), thousands of licensed drivers (x₂), thousands of motor vehicle registrations (x3), and the motor vehicle fuel tax in cents per gallon (x4), and include only those that are condition significant. Click the icon to view the traffic data for ten regions for the year 2007. Complete the regression equation below. Use 0 for the coefficient of any variable not included in the model. Y = + ( x₁ + x₂ + x3 + x4 (Round to five decimal places as needed.)
You have been asked to develop a multiple regression model to predict the traffic fatality rate per 100 million miles in 2007 (y). The data table available b contains traffic data for ten regions for the year 2007. Consider the possible predictor variables per capital disposable income (x₁), thousands of licensed drivers (x₂), thousands of motor vehicle registrations (x3), and the motor vehicle fuel tax in cents per gallon (x4), and include only those that are condition significant. Click the icon to view the traffic data for ten regions for the year 2007. Complete the regression equation below. Use 0 for the coefficient of any variable not included in the model. Y = + ( x₁ + x₂ + x3 + x4 (Round to five decimal places as needed.)
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
y x1 x2 x3 x4
0.8 44711 739 586 7.4
1.6 27896 690 526 12.5
1.5 25435 728 566 29.6
1.4 31889 549 338 22.6
1.1 37503 931 825 19.6
1.4 32822 678 506 7.8
1.9 22833 923 820 10.7
0.9 36000 822 677 33.7
1.6 23497 405 146 23.3
1.7 25285 678 506 13.5
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