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Author Question: The dean of the Business School at a small Florida college wishes to determine whether the ... (Read 63 times)

lb_gilbert

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on: Feb 14, 2020
The dean of the Business School at a small Florida college wishes to determine whether the grade-point average (GPA) of a graduating student can be used to predict the graduate's starting salary. More specifically, the dean wants to know whether higher GPAs lead to higher starting salaries. Records for 23 of last year's Business School graduates are selected at random, and data on GPA (x) and starting salary (y, in $thousands) for each graduate were used to fit the model

E(y) = β0 + β1x


The results of the simple linear regression are provided below.
= 4.25 + 2.75x,SSxy = 5.15, SSxx = 1.87
​SSyy = 15.17, SSE = 1.0075

Compute an estimate of σ, the standard deviation of the random error term.
◦ .048
◦ .689
◦ 0.219
◦ 1.0075
Statistics ¦ McClave, Sincich, Tamarack ¦ 12th Edition
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Marked as best answer by lb_gilbert on Feb 14, 2020

braelync

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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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lb_gilbert

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Reply 2 on: Feb 14, 2020
Excellent

peter

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Reply 3 on: Yesterday
:D TYSM

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