. Using the same data set from Question 8 and your answers, complete each part: a. What is the regression line equation? b. Predict the total number of good grades on assignments in one week if a student gets 9 hours of sleep per night. (Round your answer to the nearest whole number.) c. Was the regression line helpful in making the prediction in part (b)? Why/why not?
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8 students were asked, how many hours they were studying before the test, and what grade they got. a) Find the equation of the regression line for the data below. Write your answer in form of y=ax+b, do not use the space bar, round the coefficients to the nearest tenth place. b) Find the correlation coefficient, round the coefficient to the nearest hundredth place. X, hours studying Y, test grade 12 85 4 60 3 45 14 92 2 54 9 80 8 72 11 65
Madhur L.
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Ahmet Y.
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 x Grade y 4 55.6 4 56.6 5 62 8 65.2 11 82.4 14 79.6 15 81 15 97 15 80 16 91.4 State the regression equation with constants accurate to 2 decimal places. ˆ y =___________ x +____________ What is the predicted value for the final grade when a student spends an average of 8 hours each week on math? ______________ Round to 2 decimal places.
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