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 = -2.2 * weight + 170
This means that on average for every extra kilogram weight a rider loses -2.2 positions in the result.
Mullen
1
77 kgWang
4
73 kgDeruette
10
70 kgLecroq
16
70 kgLeplingard
22
68 kg
1
77 kgWang
4
73 kgDeruette
10
70 kgLecroq
16
70 kgLeplingard
22
68 kg
Weight (KG) →
Result →
77
68
1
22
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MULLEN Ryan | 77 |
| 4 | WANG Emil | 73 |
| 10 | DERUETTE Thomas | 70 |
| 16 | LECROQ Jérémy | 70 |
| 22 | LEPLINGARD Antoine | 68 |