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 - 11
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Ganay
2
62 kgLejeune
3
77 kgPaoli
4
56 kgMatheron
9
63 kgBellenger
11
76 kgCoutte
14
76 kg
2
62 kgLejeune
3
77 kgPaoli
4
56 kgMatheron
9
63 kgBellenger
11
76 kgCoutte
14
76 kg
Weight (KG) →
Result →
77
56
2
14
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GANAY Gustave | 62 |
| 3 | LEJEUNE Emile | 77 |
| 4 | PAOLI Napoléon | 56 |
| 9 | MATHERON Marius | 63 |
| 11 | BELLENGER Romain | 76 |
| 14 | COUTTE André | 76 |