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 = -0.3 * weight + 30
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Induráin
1
76 kgBreukink
3
70 kgRoche
5
74 kgBugno
7
68 kgHarmeling
8
76 kgWalton
9
68 kg
1
76 kgBreukink
3
70 kgRoche
5
74 kgBugno
7
68 kgHarmeling
8
76 kgWalton
9
68 kg
Weight (KG) →
Result →
76
68
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | INDURÁIN Miguel | 76 |
| 3 | BREUKINK Erik | 70 |
| 5 | ROCHE Stephen | 74 |
| 7 | BUGNO Gianni | 68 |
| 8 | HARMELING Rob | 76 |
| 9 | WALTON Brian | 68 |