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 + 33
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Clinger
1
77 kgLeipheimer
7
62 kgBarry
8
72 kgŁukaszewicz
9
63 kgLandis
10
68 kg
1
77 kgLeipheimer
7
62 kgBarry
8
72 kgŁukaszewicz
9
63 kgLandis
10
68 kg
Weight (KG) →
Result →
77
62
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CLINGER David | 77 |
| 7 | LEIPHEIMER Levi | 62 |
| 8 | BARRY Michael | 72 |
| 9 | ŁUKASZEWICZ Czesław | 63 |
| 10 | LANDIS Floyd | 68 |