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 = -0.1 * weight + 14
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Bellenger
3
76 kgGanay
4
62 kgJacquinot
5
75 kgLejeune
7
77 kgPaoli
8
56 kgCoutte
11
76 kgMatheron
13
63 kgNain
18
70 kg
3
76 kgGanay
4
62 kgJacquinot
5
75 kgLejeune
7
77 kgPaoli
8
56 kgCoutte
11
76 kgMatheron
13
63 kgNain
18
70 kg
Weight (KG) →
Result →
77
56
3
18
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | BELLENGER Romain | 76 |
| 4 | GANAY Gustave | 62 |
| 5 | JACQUINOT Robert | 75 |
| 7 | LEJEUNE Emile | 77 |
| 8 | PAOLI Napoléon | 56 |
| 11 | COUTTE André | 76 |
| 13 | MATHERON Marius | 63 |
| 18 | NAIN Etienne | 70 |