A professor wants to conduct a study in a statistics class to measure the effect of solving problems at home on the performance on the final exam. She collected data at random for 20 students from a class on the number of hours spent in a week doing problem sets at home (X) and their score on the final exam (Y), as shown in the following table. Answer questions (a) through (d) based on this data. X = # of hrs/week 24 10 20 6 5 21 23 18 19 12 16 6 19 5 22 12 20 15 18 10 Y = score on the final 100 72 90 63 59 90 98 89 86 73 85 66 86 64 96 73 94 85 85 70 The regression slope is ________ and the vertical intercept is ________. The predicted final score of a student who studies for 12 hours every week is ________ . The coefficients of determination is ___________ and_______
A professor wants to conduct a study in a statistics class to measure the effect of solving problems at home on the performance on the final exam. She collected data at random for 20 students from a class on the number of hours spent in a week doing problem sets at home (X) and their score on the final exam (Y), as shown in the following table. Answer questions (a) through (d) based on this data. X = # of hrs/week 24 10 20 6 5 21 23 18 19 12 16 6 19 5 22 12 20 15 18 10 Y = score on the final 100 72 90 63 59 90 98 89 86 73 85 66 86 64 96 73 94 85 85 70 The regression slope is ________ and the vertical intercept is ________. The predicted final score of a student who studies for 12 hours every week is ________ . The coefficients of determination is ___________ and_______
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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A professor wants to conduct a study in a statistics class to measure the effect of solving problems at home on the performance on the final exam. She collected data at random for 20 students from a class on the number of hours spent in a week doing problem sets at home (X) and their score on the final exam (Y), as shown in the following table. Answer questions (a) through (d) based on this data.
X = # of hrs/week | 24 | 10 | 20 | 6 | 5 | 21 | 23 | 18 | 19 | 12 | 16 | 6 | 19 | 5 | 22 | 12 | 20 | 15 | 18 | 10 |
Y = score on the final | 100 | 72 | 90 | 63 | 59 | 90 | 98 | 89 | 86 | 73 | 85 | 66 | 86 | 64 | 96 | 73 | 94 | 85 | 85 | 70 |
- The regression slope is ________ and the vertical intercept is ________.
- The predicted final score of a student who studies for 12 hours every week is ________ .
- The coefficients of determination is ___________ and__________ coefficient of non-determination is __________ .
- Perform an F-test for the significance of the regression at 0.05 level of significance. Answer if you found the model to be "significant" or "not significant" based on this test. _____________________
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