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Author Question: A manufacturer of boiler drums wants to use regression to predict the number of man-hours needed to ... (Read 45 times)

audragclark

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on: Feb 14, 2020
A manufacturer of boiler drums wants to use regression to predict the number of man-hours needed to erect drums in the future. The manufacturer collected a random sample of 35 boilers and measured the following two variables:

MANHRS:y = Number of man-hours required to erect the drum
PRESSURE:x1= Boiler design pressure (pounds per square inch, i.e., psi)

The simple linear model E(y) = β0 + β1x was fit to the data. A printout for the analysis appears below:

UNWEIGHTED LEAST SQUARES LINEAR REGRESSION OF MANHRS







Fill in the blank. At α =.01, there is ____________ between man-hours and pressure.
◦ sufficient evidence of a negative linear relationship
◦ sufficient evidence of a positive linear relationship
◦ sufficient evidence of a linear relationship
◦ insufficient evidence of a positive linear relationship
Statistics ¦ McClave, Sincich, Tamarack ¦ 12th Edition
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Marked as best answer by audragclark on Feb 14, 2020

asdfghjkl;

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Reply #1 on: Feb 14, 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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audragclark

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Reply 2 on: Feb 14, 2020
Gracias!

tkempin

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Reply 3 on: Yesterday
Wow, this really help

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