d. 7² = e. Interpret ²: O Given any group that spends a fixed amount of time studying per week, 80% of all of those students will receive the predicted score on the final exam. O 80% of all students will receive the average score on the final exam. (Round to two decimal places) There is a 80% chance that the regression line will be a good predictor for the final exam score based on the time spent studying. O There is a large variation in the final exam scores that students receive, but if you only look at students who spend a fixed amount of time studying per week, this variation on average is reduced by 80%. f. The equation of the linear regression line is: ý= (Please show your answers to two decimal places) g. Use the model to predict the final exam score for a student who spends 10 hours per week studying. Final exam score = (Please round your answer to the nearest whole number.) h. Interpret the slope of the regression line in the context of the question: O The slope has no practical meaning since you cannot predict what any individual student will score on the final. As x goes up, y goes up. O For every additional hour per week students spend studying, they tend to score on averge 4.10 higher on the final exam. i. Interpret the y-intercept in the context of the question: If a student does not study at all, then that student will score 35 on the final exam. O The average final exam score is predicted to be 35. The best prediction for a student who doesn't study at all is that the student will score 35 on the final exam. O The y-intercept has no practical meaning for this study.
d. 7² = e. Interpret ²: O Given any group that spends a fixed amount of time studying per week, 80% of all of those students will receive the predicted score on the final exam. O 80% of all students will receive the average score on the final exam. (Round to two decimal places) There is a 80% chance that the regression line will be a good predictor for the final exam score based on the time spent studying. O There is a large variation in the final exam scores that students receive, but if you only look at students who spend a fixed amount of time studying per week, this variation on average is reduced by 80%. f. The equation of the linear regression line is: ý= (Please show your answers to two decimal places) g. Use the model to predict the final exam score for a student who spends 10 hours per week studying. Final exam score = (Please round your answer to the nearest whole number.) h. Interpret the slope of the regression line in the context of the question: O The slope has no practical meaning since you cannot predict what any individual student will score on the final. As x goes up, y goes up. O For every additional hour per week students spend studying, they tend to score on averge 4.10 higher on the final exam. i. Interpret the y-intercept in the context of the question: If a student does not study at all, then that student will score 35 on the final exam. O The average final exam score is predicted to be 35. The best prediction for a student who doesn't study at all is that the student will score 35 on the final exam. O The y-intercept has no practical meaning for this study.
Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter4: Calculating The Derivative
Section4.CR: Chapter 4 Review
Problem 88CR
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