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Question 72

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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
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    -The   for this model is missing in the provided output. Use the available information to compute (round to three decimal places)    for this model. A)  0.195 B)  0.243
-The 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    -The   for this model is missing in the provided output. Use the available information to compute (round to three decimal places)    for this model. A)  0.195 B)  0.243 for this model is missing in the provided output. Use the available information to compute (round to three decimal places) 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    -The   for this model is missing in the provided output. Use the available information to compute (round to three decimal places)    for this model. A)  0.195 B)  0.243 for this model.


A) 0.195
B) 0.243

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