The table shows the miles drive by a UPS truck driver. The distance is the total number of miles he has driven. Time (hours) Distance (miles) 1 ::: 43 0 2 87 3 110 4 120 Equation: y = 12 + 30x b) Interpret the equation in terms of the problem situation. The slope means O The predicted number of miles driven at the beginning is 30 O The truck driver always drives 30 miles per hour The predicted increase per hour is 30 miles O The predicted number of miles driven at at the beginning is 0 O The predicted increase in miles driven per hour is 12 O The predicted number of miles driven at the beginning is 12 5 150 The y-intercept means O The predicted number of miles driven at the beginning is 30 The predicted increase per hour is 30 miles O The predicted increase in miles driven per hour is 12 O The truck driver always drives 30 miles per hour O The predicted number of miles driven at at the beginning is 0 O The predicted number of miles driven at the beginning is 12 6 203 a) Determine a linear regression equation for the data. Round the slope and y-intercept to the nearest whole number. 7 216
The table shows the miles drive by a UPS truck driver. The distance is the total number of miles he has driven. Time (hours) Distance (miles) 1 ::: 43 0 2 87 3 110 4 120 Equation: y = 12 + 30x b) Interpret the equation in terms of the problem situation. The slope means O The predicted number of miles driven at the beginning is 30 O The truck driver always drives 30 miles per hour The predicted increase per hour is 30 miles O The predicted number of miles driven at at the beginning is 0 O The predicted increase in miles driven per hour is 12 O The predicted number of miles driven at the beginning is 12 5 150 The y-intercept means O The predicted number of miles driven at the beginning is 30 The predicted increase per hour is 30 miles O The predicted increase in miles driven per hour is 12 O The truck driver always drives 30 miles per hour O The predicted number of miles driven at at the beginning is 0 O The predicted number of miles driven at the beginning is 12 6 203 a) Determine a linear regression equation for the data. Round the slope and y-intercept to the nearest whole number. 7 216
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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