Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -0.5 * weight + 46
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Raas
1
72 kgKelly
2
77 kgDe Wilde
8
70 kgDemeyer
9
85 kgPollentier
21
62 kg
1
72 kgKelly
2
77 kgDe Wilde
8
70 kgDemeyer
9
85 kgPollentier
21
62 kg
Weight (KG) →
Result →
85
62
1
21
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RAAS Jan | 72 |
| 2 | KELLY Sean | 77 |
| 8 | DE WILDE Etienne | 70 |
| 9 | DEMEYER Marc | 85 |
| 21 | POLLENTIER Michel | 62 |