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Author Question: During its manufacture, a product is subjected to four different tests in sequential order. An ... (Read 121 times)

abc

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on: Feb 14, 2020
During its manufacture, a product is subjected to four different tests in sequential order. An efficiency expert claims that the fourth (and last) test is unnecessary since its results can be predicted based on the first three tests. To test this claim, multiple regression will be used to model Test4 score , as a function of Test1 score , Test 2 score , and Test3 score [Note: All test scores range from 200 to 800, with higher scores indicative of a higher quality product.] Consider the model:

E(y) = β1 + β1x1 + β2x2 + β3x3


The first-order model was fit to the data for each of 12 units sampled from the production line. The results are summarized in the printout.
_____________________________________________________________________

ROOT MSE 52.72 R-SQUARE 0.872

DEP MEAN 645.8 ADJ R-SQ 0.824



Compute a 95% confidence interval for β3.
◦ .33 ± 4.04
◦ .33 ± 105
◦ .33 ± .19
◦ .33 ± .08
Statistics ¦ McClave, Sincich, Tamarack ¦ 12th Edition
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Marked as best answer by abc on Feb 14, 2020

Joy Chen

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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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abc

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Reply 2 on: Feb 14, 2020
Wow, this really help

amcvicar

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Reply 3 on: Yesterday
Thanks for the timely response, appreciate it

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