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 = 0.2 * weight - 10
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Fraser
5
71 kgLandis
6
68 kgDrew
7
72 kgHaselbacher
9
69 kgO'Neill
10
72 kg
5
71 kgLandis
6
68 kgDrew
7
72 kgHaselbacher
9
69 kgO'Neill
10
72 kg
Weight (KG) →
Result →
72
68
5
10
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | FRASER Gordon | 71 |
| 6 | LANDIS Floyd | 68 |
| 7 | DREW Jamie Peter | 72 |
| 9 | HASELBACHER René | 69 |
| 10 | O'NEILL Nathan | 72 |