The table represents the scores medical students got on their first year and second year. 1st Year = X 5 5 6 7 8 9 2nd Year = Y 12 10 9 7 7 6 a) Draw a scatter plot b) Find the regression line c) Find the correlation coefficient d) Find the coefficient of determination e) Determine the linear relationship

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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The table represents the scores medical students obtained in their first and second years.

| 1st Year = X | 2nd Year = Y |
|--------------|--------------|
| 5            | 12           |
| 5            | 10           |
| 6            | 9            |
| 7            | 7            |
| 8            | 7            |
| 9            | 6            |

Tasks:
a) Draw a scatter plot
b) Find the regression line
c) Find the correlation coefficient
d) Find the coefficient of determination
e) Determine the linear relationship

**Explanation:** 

The table gives the scores of students in two consecutive years, with "X" representing the first-year scores and "Y" representing the second-year scores. The tasks aim to analyze the relationship between these scores using statistical methods such as creating a scatter plot, calculating the regression line, correlation coefficient, and the coefficient of determination to understand the linear relationship between the two sets of scores.
Transcribed Image Text:The table represents the scores medical students obtained in their first and second years. | 1st Year = X | 2nd Year = Y | |--------------|--------------| | 5 | 12 | | 5 | 10 | | 6 | 9 | | 7 | 7 | | 8 | 7 | | 9 | 6 | Tasks: a) Draw a scatter plot b) Find the regression line c) Find the correlation coefficient d) Find the coefficient of determination e) Determine the linear relationship **Explanation:** The table gives the scores of students in two consecutive years, with "X" representing the first-year scores and "Y" representing the second-year scores. The tasks aim to analyze the relationship between these scores using statistical methods such as creating a scatter plot, calculating the regression line, correlation coefficient, and the coefficient of determination to understand the linear relationship between the two sets of scores.
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