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 = -0.5 * weight + 39
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Bellenger
1
76 kgLejeune
3
77 kgMatheron
7
63 kgPaoli
10
56 kgGanay
14
62 kg
1
76 kgLejeune
3
77 kgMatheron
7
63 kgPaoli
10
56 kgGanay
14
62 kg
Weight (KG) →
Result →
77
56
1
14
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BELLENGER Romain | 76 |
| 3 | LEJEUNE Emile | 77 |
| 7 | MATHERON Marius | 63 |
| 10 | PAOLI Napoléon | 56 |
| 14 | GANAY Gustave | 62 |