Bata Below represent commute times (in minutes) and scores on a well-being survey. Complete parts (a) through (d) below. mute Time (minutes), x -Being Index Score, y 5 15 30 35 60 72 105 - 69.0 67.7 66.1 65.7 63.5 63.2 59.6 Find the least-squares regression line treating the commute time, x, as the explanatory variable and the index score, y, as the response variable. -0.089 x+(69.086) ound to three decimal places as needed.) ) Interpret the slope and y-intercept, if appropriate. rst interpret the slope. Select the correct choice below and, if necessary, fill in the answer box to complete your choice. A. For every unit increase in index score, the commute time falls by .090, on average. (Round to three decimal places as needed.) OB. For a commute time of zero inutes, the index score is predicted to be (Round to three decimal places as needed.) OC. For an index score of zero, the commute time is predicted to be (Round to three decimal places as needed.) OD. For every unit increase in commute time, the index score falls by (Round to three decimal places as needed.) OE. It is not appropriate to interpret the slope. minutes. on average. A

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Chapter4: Exponential Functions
Section4.4: Modeling Nearly Exponential Data
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data below represent commute times (in minutes) and scores on a well-being survey. Complete parts (a) through (d) below.
nmute Time (minutes), x
15 30 35 60 72
105
67.7 66.1 65.7 63.5 63.2 59.6
l-Being Index Score, y
Find the least-squares regression line treating the commute time, x, as the explanatory variable and the index score, y, as the response variable.
= -0.089 x+(69.086
Round to three decimal places as needed.)
5) 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 your choice.
OA. For every unit increase in index score, the commute time falls by 090, on average.
(Round to three decimal places as needed.)
OB. For a commute time of zero minutes, the index score is predicted to be
(Round to three decimal places as needed.)
OC. For an index score of zero, the commute time is predicted to be
(Round to three decimal places as needed.)
OD. For every unit increase in commute time, the index score falls by
(Round to three decimal places as needed.)
OE. It is not appropriate to interpret the slope.
N
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Transcribed Image Text:data below represent commute times (in minutes) and scores on a well-being survey. Complete parts (a) through (d) below. nmute Time (minutes), x 15 30 35 60 72 105 67.7 66.1 65.7 63.5 63.2 59.6 l-Being Index Score, y Find the least-squares regression line treating the commute time, x, as the explanatory variable and the index score, y, as the response variable. = -0.089 x+(69.086 Round to three decimal places as needed.) 5) 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 your choice. OA. For every unit increase in index score, the commute time falls by 090, on average. (Round to three decimal places as needed.) OB. For a commute time of zero minutes, the index score is predicted to be (Round to three decimal places as needed.) OC. For an index score of zero, the commute time is predicted to be (Round to three decimal places as needed.) OD. For every unit increase in commute time, the index score falls by (Round to three decimal places as needed.) OE. It is not appropriate to interpret the slope. N Help me solve this F1 5 69.0 O Type here to search F2 W S X View an example F3 E D F4 $ R F F5 A Get more help - % 5 F6 minutes. T on average. e 40 Y H F8 & 7 D F9 * 00 G क K घ F10 1 F11 P
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