Consider the following data set, where yy is the final grade in a math class and xx is the average number of hours the student spent working on math each week. hours/week x Grade y 5 58 8 63.2 8 73.2 9 68.6 9 70.6 11 68.4 13 81.2 14 86.6 17 100 20 100 The regression equation is y=3.04⋅x+42.33y=3.04⋅x+42.33. Explain what the value of the slope means in this situation, where yy is the final grade in a math class and xx is the average number of hours the student spent working on math each week. Explain what the value of the y-intercept means in this situation. What is the predicted value for the final grade when a student spends an average of 15 hours each week on math? Grade =  Round to 1 decimal place.

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Consider the following data set, where yy is the final grade in a math class and xx is the average number of hours the student spent working on math each week.
hours/week
x
Grade
y
5 58
8 63.2
8 73.2
9 68.6
9 70.6
11 68.4
13 81.2
14 86.6
17 100
20 100


The regression equation is y=3.04⋅x+42.33y=3.04⋅x+42.33.

Explain what the value of the slope means in this situation, where yy is the final grade in a math class and xx is the average number of hours the student spent working on math each week.


Explain what the value of the y-intercept means in this situation.


What is the predicted value for the final grade when a student spends an average of 15 hours each week on math?
Grade =  Round to 1 decimal place.
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