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 = 2.1 * weight - 139
This means that on average for every extra kilogram weight a rider loses 2.1 positions in the result.
Bertocco
1
70 kgPuppo
2
70 kgGodard
3
65 kgPassat
5
71 kgDeforge
14
72 kgGoujon
15
75 kgLaurent
27
77 kg
1
70 kgPuppo
2
70 kgGodard
3
65 kgPassat
5
71 kgDeforge
14
72 kgGoujon
15
75 kgLaurent
27
77 kg
Weight (KG) →
Result →
77
65
1
27
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BERTOCCO Aldo | 70 |
| 2 | PUPPO Henri | 70 |
| 3 | GODARD Robert | 65 |
| 5 | PASSAT Raymond | 71 |
| 14 | DEFORGE André | 72 |
| 15 | GOUJON Jean | 75 |
| 27 | LAURENT Marcel | 77 |