Run a regression analysis on the following data set, where y is the final grade in a math class and x is the average number of hours the student spent working on math each week. hours/week Grade y 4 40.6 7 50.8 8 64.2 10 79 11 83.4 13 73.2 13 84.2 13 87.2 14 76.6 18 100 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 12 hours each week on math? Grade = Round to 1 decimal place.

Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)
6th Edition
ISBN:9781337111348
Author:Bruce Crauder, Benny Evans, Alan Noell
Publisher:Bruce Crauder, Benny Evans, Alan Noell
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 x
is the average number of hours the student spent working on math each week.
hours/week
Grade
y
4
40.6
7
50.8
8
64.2
10
79
11
83.4
13
73.2
13
84.2
13
87.2
14
76.6
18
100
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 12 hours each
week on math?
Grade =
Round to 1 decimal place.
Transcribed Image Text:Run a regression analysis on the following data set, where y is the final grade in a math class and x is the average number of hours the student spent working on math each week. hours/week Grade y 4 40.6 7 50.8 8 64.2 10 79 11 83.4 13 73.2 13 84.2 13 87.2 14 76.6 18 100 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 12 hours each week on math? Grade = Round to 1 decimal place.
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