In: Statistics and Probability
A random sample of ten professional athletes produced the following data where X is the number of endorsements the player has and Y is the amount of money made (in millions of dollars). What is the slope of the line of best fit? What does it represent?
x | y |
0 | 2 |
3 | 8 |
2 | 7 |
1 | 3 |
5 | 13 |
5 | 12 |
4 | 9 |
3 | 9 |
0 | 3 |
4 | 10 |
Following table shows the calculations:
X | Y | X^2 | Y^2 | XY | |
0 | 2 | 0 | 4 | 0 | |
3 | 8 | 9 | 64 | 24 | |
2 | 7 | 4 | 49 | 14 | |
1 | 3 | 1 | 9 | 3 | |
5 | 13 | 25 | 169 | 65 | |
5 | 12 | 25 | 144 | 60 | |
4 | 9 | 16 | 81 | 36 | |
3 | 9 | 9 | 81 | 27 | |
0 | 3 | 0 | 9 | 0 | |
4 | 10 | 16 | 100 | 40 | |
Total | 27 | 76 | 105 | 710 | 269 |
The slope is: 1.988
For each unit increase in the number of endorsements the player, the amount of money made (in millions of dollars) is increased by 1.988.
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Following scatter plot shows the same: