Suppose the manager of a gas station monitors how many bags of ice he sells daily along with recording thehighest temperature each day during the summer. The data are plotted with temperature, in degrees Fahrenheit(°F), as the explanatory variable and the number of ice bags sold that day as the response variable. The leastsquares regression (LSR) line for the data is =-114.05+2.17X.On one of the observed days, the temperature was 85 °F and 66 bags of ice were sold. The number of bags ofice predicted to be sold by the LSR line, y, when the temperature is 85 °F is 70.Using the predicted value, compute the residual at this temperature.Answer:

The least squares regression line for the data isY^ = -114. 05+2.17XIt is given that on one of the…

Answered: highest temperature each day during the…

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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