10. The director of an alumni association for a small college wants to determine whether there is any type of relationship between the amount of an alumnus' contribution (in dollars) and the the alumnus has been out of school. The data follow. years 1 500 (strong/weak). 500 Years, x Contribution, y a) Plot these data below. Comment on the type of correlation there appears to be (positive/negative/none), as well as the apparent strength of the correlation 450 400 5 350+ 100 300 300 250+ 100 so 8 3 200 t 150 + 7 50 6 75 97 above

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**10.** The director of an alumni association for a small college wants to determine whether there is any type of relationship between the amount of an alumnus' contribution (in dollars) and the years the alumnus has been out of school. The data follow:

| Years, x   | 1  | 5  | 3  | 8  | 7  | 6  |
|------------|----|----|----|----|----|----|
| Contribution, y ($)| 500| 100| 300| 50 | 75 | 97 |

**a) Plot these data below. Comment on the type of correlation there appears to be (positive/negative/none), as well as the apparent strength of the correlation (strong/weak).**

*Graph Description:*  
The graph is a scatter plot that depicts the relationship between the number of years an alumnus has been out of school (x-axis) and their contribution amount in dollars (y-axis). The x-axis is labeled "Years" and ranges from 0 to 9. The y-axis is labeled "Contribution" and ranges from 0 to 500 in increments of 100. Points plotted are as follows:

- Year 1: $500
- Year 5: $100
- Year 3: $300
- Year 8: $50
- Year 7: $75
- Year 6: $97

*Comment on Correlation:*  
The scatter plot suggests a negative correlation between the years out of school and the contribution amount. Contributions tend to decrease as the number of years increases. This correlation appears to be moderately strong.

**b) Find the correlation coefficient. Does this value confirm or refute your comments above as to the strength and direction of the relationship between the two variables?**

*Note:* In an educational setting, further calculation can be done to determine the exact correlation coefficient using statistical methods, confirming or refuting the observed negative correlation.
Transcribed Image Text:**10.** The director of an alumni association for a small college wants to determine whether there is any type of relationship between the amount of an alumnus' contribution (in dollars) and the years the alumnus has been out of school. The data follow: | Years, x | 1 | 5 | 3 | 8 | 7 | 6 | |------------|----|----|----|----|----|----| | Contribution, y ($)| 500| 100| 300| 50 | 75 | 97 | **a) Plot these data below. Comment on the type of correlation there appears to be (positive/negative/none), as well as the apparent strength of the correlation (strong/weak).** *Graph Description:* The graph is a scatter plot that depicts the relationship between the number of years an alumnus has been out of school (x-axis) and their contribution amount in dollars (y-axis). The x-axis is labeled "Years" and ranges from 0 to 9. The y-axis is labeled "Contribution" and ranges from 0 to 500 in increments of 100. Points plotted are as follows: - Year 1: $500 - Year 5: $100 - Year 3: $300 - Year 8: $50 - Year 7: $75 - Year 6: $97 *Comment on Correlation:* The scatter plot suggests a negative correlation between the years out of school and the contribution amount. Contributions tend to decrease as the number of years increases. This correlation appears to be moderately strong. **b) Find the correlation coefficient. Does this value confirm or refute your comments above as to the strength and direction of the relationship between the two variables?** *Note:* In an educational setting, further calculation can be done to determine the exact correlation coefficient using statistical methods, confirming or refuting the observed negative correlation.
Expert Solution
Step 1

N=6 

Data is given for contribution according to years.

We have to calculate correlation coefficient and tell about direction and strength.

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