The data below represent commute times (in minutes) and scores on a well-being survey. Complete parts (a)through (d) below.Commute Time (minutes), xWell-Being Index Score, y572 10520 25 35 6069.2 68.0 67.5 67.1 65.9 66.0 63.8(a) Find the least-squares regression line treating the commute time, x, as the explanatory variable and theindex score, y, as the response variable.ŷ=x+(Round to three decimal places as needed.)(b) Interpret the slope and y-intercept, if appropriate.First interpret the slope. Select the correct choice below and, if necessary, fill in the answer box to complete yourchoice.OA. For every unit increase in commute time, the index score falls by(Round to three decimal places as needed.)OB. For every unit increase in index score, the commute time falls by(Round to three decimal places as needed.)1D. For an index score of zero, the commute time is predicted to be(Round to three decimal places as needed.)on average.on average.OC. For a commute time of zero minutes, the index score is predicted to be(Round to three decimal places as needed.)minutes.

The regression line is the linear relationship between predicted values of variable and the observed…

(a) Find the least-squares regression line treating the commute time, x, as the explanatory variable and the index score, y, as the response variable. X+ (Round to three decimal places as needed.) (b) Interpret the slope and y-intercept, if appropriate.

(a) Find the least-squares regression line treating the commute time, x, as the explanatory variable and the index score, y, as the response variable. X+ (Round to three decimal places as needed.) (b) Interpret the slope and y-intercept, if appropriate.

ENGR.ECONOMIC ANALYSIS

14th Edition

ISBN:9780190931919

Author:NEWNAN

Publisher:NEWNAN

Chapter1: Making Economics Decisions

Section: Chapter Questions

Problem 1QTC

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