Run a regression analysis on the following data set, where y is the final grade in a math class and æ is the average number of hours the student spent working on math each week. hours/week Grade y 4 52.6 4 48.6 55 6 62.4 7 69.8 70.6 11 77.4 13 77.2 19 96.6 20 99 State the regression equation y = m · x + b, with constants accurate to two decimal places. What is the predicted value for the final grade when a student spends an average of 10 hours each week on math? Grade = Round to 1 decimal place. 5.

Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)
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ISBN:9781337111348
Author:Bruce Crauder, Benny Evans, Alan Noell
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Chapter5: A Survey Of Other Common Functions
Section5.3: Modeling Data With Power Functions
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Run a regression analysis on the following data set, where y is the final grade in a math class and æ
is the average number of hours the student spent working on math each week.
hours/week Grade
y
4
52.6
4
48.6
55
6
62.4
7
69.8
70.6
11
77.4
13
77.2
19
96.6
20
99
State the regression equation y = m · x + b, with constants accurate to two decimal places.
What is the predicted value for the final grade when a student spends an average of 10 hours each
week on math?
Grade =
Round to 1 decimal place.
5.
Transcribed Image Text:Run a regression analysis on the following data set, where y is the final grade in a math class and æ is the average number of hours the student spent working on math each week. hours/week Grade y 4 52.6 4 48.6 55 6 62.4 7 69.8 70.6 11 77.4 13 77.2 19 96.6 20 99 State the regression equation y = m · x + b, with constants accurate to two decimal places. What is the predicted value for the final grade when a student spends an average of 10 hours each week on math? Grade = Round to 1 decimal place. 5.
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