In: Statistics and Probability
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's contribution (in dollars) and the years the alumnus has been out of school.
Use the Data Analysis toolpack: Correlation and Regression and answer the questions below.
Years Contribution
1 500
5 154
3 300
10 61
7 75
6 80
Give the following:
correlation coefficient:
is there a significant correlation between variables?
Equation of the Regression line
a
b
Predict the amount of contribution if the alumnus has been out of school for 4 years.
a) Correlation coefficient:
The provided data are shown in the table below
X | Y |
1 | 500 |
5 | 154 |
3 | 300 |
10 | 61 |
7 | 75 |
6 | 80 |
Also, the following calculations are needed to compute the correlation coefficient:
X | Y | X*Y | X2 | Y2 | |
1 | 500 | 500 | 1 | 250000 | |
5 | 154 | 770 | 25 | 23716 | |
3 | 300 | 900 | 9 | 90000 | |
10 | 61 | 610 | 100 | 3721 | |
7 | 75 | 525 | 49 | 5625 | |
6 | 80 | 480 | 36 | 6400 | |
Sum = | 32 | 1170 | 3785 | 220 | 379462 |
Therefore, based on this information, the sample correlation coefficient is computed as follows
b)
Hence there is a significant correlation between the variables
c)
the following is calculated:
Therefore, based on the above calculations, the regression coefficients (the slope m, and the y-intercept n) are obtained as follows:
Therefore, we find that the regression equation is:
d)
When X = 4 then
Let me know in the comments if anything is not clear. I will reply ASAP! Please do upvote if satisfied!