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cmartinez034 cmartinez034
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1 months ago
Use the following to answer the questions below:

Output for a model to predict the GPAs of students at a small university based on their Math SAT scores, Verbal SAT scores, and the number of hours spent watching television in a typical week is provided.

The regression equation is
GPA = 1.80 + 0.00104 Math SAT + 0.00142 Verbal SAT - 0.0147 TV

PredictorCoefSE CoefTP
Constant1.80150.18429.780.000
Math SAT 0.00104420.0002500 4.180.000
Verbal SAT0.00141820.00023985.910.000
TV-0.0147080.003269-4.500.000
S = 0.366780        R-Sq = ????%        R-Sq(adj) = 19.0%

Analysis of Variance

SourceDFSSMSFP
Regression?14.48864.829535.900.000
Residual Error?59.73040.1345
Total44774.2190

The R2 for this model is missing in the provided output. Use the available information to compute (round to three decimal places) R2 for this model.

▸ 0.195

▸ 0.243
Textbook 
Statistics: Unlocking the Power of Data

Statistics: Unlocking the Power of Data


Edition: 3rd
Authors:
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Zigdog4400Zigdog4400
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1 months ago
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cmartinez034 Author
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1 months ago
This calls for a celebration Person Raising Both Hands in Celebration
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Yesterday
I appreciate what you did here, answered it right Smiling Face with Open Mouth
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2 hours ago
Thanks
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