Next, the professor realizes she has other data that may be useful in understanding student grades. She wants to see if attendance and the number of hours spent studying each week can be used to predict students’ final averages. Use the data above to answer the following questions. How

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Next, the professor realizes she has other data that may be useful in understanding student grades. She wants to see if attendance and the number of hours spent studying each week can be used to predict students’ final averages. Use the data above to answer the following questions.

  1. How many predictors are used in this study? What are they?
  2. What is the criterion?
  3. What percent of the study’s total variance do the predictors account for?
  4. Does this set of predictors account for a significant amount of the criterion variance with an α = 0.05?
  5. Which predictor variable best predicts the criterion?
  6. Which predictor variable(s) significantly predict the criterion with an α = 0.05 (if any)?
Study
Hours
14
Final
Average
80
66
85
86
Days
Absent
Student
3
2
2
7
5
18
5
73
97
88
3
6
17
5
1
76
62
94
6
2
1
5
4
9
10
11
12
92
88
1
6
12
13
14
15
87
78
2
4
2
10
15
90
-234 S678
Transcribed Image Text:Study Hours 14 Final Average 80 66 85 86 Days Absent Student 3 2 2 7 5 18 5 73 97 88 3 6 17 5 1 76 62 94 6 2 1 5 4 9 10 11 12 92 88 1 6 12 13 14 15 87 78 2 4 2 10 15 90 -234 S678
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