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 47.6 7 66.8 8 68.2 76.6 11 78.4 13 73.2 13 81.2 15 95 16 93.4 18 90.2 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 7 hours each week on math? Grade = Round to 1 decimal place.

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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
47.6
7
66.8
8
68.2
9.
76.6
11
78.4
13
73.2
13
81.2
15
95
16
93.4
18
90.2
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 7 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 47.6 7 66.8 8 68.2 9. 76.6 11 78.4 13 73.2 13 81.2 15 95 16 93.4 18 90.2 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 7 hours each week on math? Grade = Round to 1 decimal place.
Based on the data shown below, calculate the regression line (each value to two decimal places)
y =
X +
y
5
11.7
6
10.86
7
10.92
8
12.78
9 16.74
10
18.6
11
18.96
12
20.72
13
21.68
14
21.64
15
24.4
16
25.26
Transcribed Image Text:Based on the data shown below, calculate the regression line (each value to two decimal places) y = X + y 5 11.7 6 10.86 7 10.92 8 12.78 9 16.74 10 18.6 11 18.96 12 20.72 13 21.68 14 21.64 15 24.4 16 25.26
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