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 = 0.4 * weight - 24
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Leipheimer
1
62 kgHruška
4
62 kgBarry
5
72 kgLandis
8
68 kgWalton
9
68 kg
1
62 kgHruška
4
62 kgBarry
5
72 kgLandis
8
68 kgWalton
9
68 kg
Weight (KG) →
Result →
72
62
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LEIPHEIMER Levi | 62 |
| 4 | HRUŠKA Jan | 62 |
| 5 | BARRY Michael | 72 |
| 8 | LANDIS Floyd | 68 |
| 9 | WALTON Brian | 68 |