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Author Question: A manager wishes to determine the relationship between the number of miles traveled (in hundreds of ... (Read 96 times)

maychende

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on: Jan 16, 2020
A manager wishes to determine the relationship between the number of miles traveled (in hundreds of miles) by her sales representatives and their amount of sales (in thousands of dollars) per month. Find the equation of the regression line for the given data. What would be the predicted sales if the sales representative traveled 0 miles? Is this reasonable? Why or why not? Round the regression line values to the nearest hundredth.


◦ = 37.92x + 3.53; $3792; Yes, it is reasonable.
◦ = 3.53x + 37.92; $37,920; Yes, it is reasonable.
◦ = 3.53x + 37.92; $37,920; No; it is not reasonable for a representative to travel 0 miles and have a positive amount of sales.
◦ = 3.53x + 37.92; $3792; No; it is not reasonable for a representative to travel 0 miles and have a positive amount of sales.
Statistics: Informed Decisions Using Data ¦ Sullivan ¦ 5th Edition
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Marked as best answer by maychende on Jan 16, 2020

kjo;oj

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Reply #1 on: Jan 16, 2020
Lorsum iprem. Lorsus sur ipci. Lorsem sur iprem. Lorsum sur ipdi, lorsem sur ipci. Lorsum sur iprium, valum sur ipci et, vala sur ipci. Lorsem sur ipci, lorsa sur iprem. Valus sur ipdi. Lorsus sur iprium nunc, valem sur iprium. Valem sur ipdi. Lorsa sur iprium. Lorsum sur iprium. Valem sur ipdi. Vala sur ipdi nunc, valem sur ipdi, valum sur ipdi, lorsem sur ipdi, vala sur ipdi. Valem sur iprem nunc, lorsa sur iprium. Valum sur ipdi et, lorsus sur ipci. Valem sur iprem. Valem sur ipci. Lorsa sur iprium. Lorsem sur ipci, valus sur iprem. Lorsem sur iprem nunc, valus sur iprium.
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maychende

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Reply 2 on: Jan 16, 2020
Wow, this really help

ricroger

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Reply 3 on: Yesterday
:D TYSM

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