Run a regression analysis on the following data set, where y is the final grade in a math class and r is the average number of hours the student spent working on math each week. hours/week Grade 56 10 73 10 80 12 83.8 12 70.8 14 91.6 14 85.6 16 99.4 18 93.2 20 100 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 13 hours each week on math? Grade = Round to 1 decimal place.

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
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 a
is the average number of hours the student spent working on math each week.
hours/week
Grade
y
56
10
73
10
80
12
83.8
12
70.8
14
91.6
14
85.6
16
99.4
18
93.2
20
100
State the regression equation y = m· r + b, with constants accurate to two decimal places.
What is the predicted value for the final grade when a student spends an average of 13 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 a is the average number of hours the student spent working on math each week. hours/week Grade y 56 10 73 10 80 12 83.8 12 70.8 14 91.6 14 85.6 16 99.4 18 93.2 20 100 State the regression equation y = m· r + b, with constants accurate to two decimal places. What is the predicted value for the final grade when a student spends an average of 13 hours each week on math? Grade = Round to 1 decimal place.
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