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Author Question: Each year a nationally recognized publication conducts its "Survey of America's Best Graduate and ... (Read 778 times)

ENagel

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on: Jan 16, 2020
Each year a nationally recognized publication conducts its "Survey of America's Best Graduate and Professional Schools." An academic advisor wants to predict the typical starting salary of a graduate at a top business school using GMAT score of the school as a predictor variable.  Total GMAT scores range from 200 to 800.  A simple linear regression of SALARY versus GMAT using 25 data points shown below.
= -92040  1 = 228  s = 3213  R2 = 0.66  r = 0.81  df = 23  t = 6.67
Give a practical interpretation of = 228.
◦ We estimate GMAT to increase 228 points for every $1 increase in SALARY.
◦ The value has no practical interpretation since a GMAT of 0 is nonsensical and outside the range of the sample data.
◦ We estimate SALARY to increase $228 for every 1-point increase in GMAT.
◦ We expect to predict SALARY to within 2(228) = $456 of its true value using GMAT in a straight-line model.
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Marked as best answer by ENagel on Jan 16, 2020

mcarey591

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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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