The following table gives the data for the hours students spent on homework and their grades on the first test. The equation of the regression line for this data is yˆ=47.986+1.094x. This equation is appropriate for making predictions at the 0.05 level of significance. If a student spent 34 hours on their homework, make a prediction for their grade on the first test. Round your prediction to the nearest whole number. Hours Spent on Homework and Test Grades Hours Spent on Homework 23 35 28 30 11 40 35 40 9 27 Grade on Test 78 60 89 100 57 80 100 86 45 89
The following table gives the data for the hours students spent on homework and their grades on the first test. The equation of the regression line for this data is yˆ=47.986+1.094x. This equation is appropriate for making predictions at the 0.05 level of significance. If a student spent 34 hours on their homework, make a prediction for their grade on the first test. Round your prediction to the nearest whole number. Hours Spent on Homework and Test Grades Hours Spent on Homework 23 35 28 30 11 40 35 40 9 27 Grade on Test 78 60 89 100 57 80 100 86 45 89
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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The following table gives the data for the hours students spent on homework and their grades on the first test. The equation of the regression line for this data is yˆ=47.986+1.094x. This equation is appropriate for making predictions at the 0.05 level of significance. If a student spent 34 hours on their homework, make a prediction for their grade on the first test. Round your prediction to the nearest whole number.
Hours Spent on Homework and Test Grades
| Hours Spent on Homework | 23 | 35 | 28 | 30 | 11 | 40 | 35 | 40 | 9 | 27 |
|---|---|---|---|---|---|---|---|---|---|---|
| Grade on Test | 78 | 60 | 89 | 100 | 57 | 80 | 100 | 86 | 45 | 89 |
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