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 - 9
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Ruijgh
1
64 kgHermans
3
72 kgGautier
4
65 kgKreuziger
5
65 kgŠpilak
10
68 kg
1
64 kgHermans
3
72 kgGautier
4
65 kgKreuziger
5
65 kgŠpilak
10
68 kg
Weight (KG) →
Result →
72
64
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RUIJGH Rob | 64 |
| 3 | HERMANS Ben | 72 |
| 4 | GAUTIER Cyril | 65 |
| 5 | KREUZIGER Roman | 65 |
| 10 | ŠPILAK Simon | 68 |