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 = -2.6 * weight + 176
This means that on average for every extra kilogram weight a rider loses -2.6 positions in the result.
Delaplace
1
65 kgDamuseau
7
64 kgCourteille
11
62 kgBouhanni
13
65 kgMolard
18
62 kg
1
65 kgDamuseau
7
64 kgCourteille
11
62 kgBouhanni
13
65 kgMolard
18
62 kg
Weight (KG) →
Result →
65
62
1
18
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DELAPLACE Anthony | 65 |
| 7 | DAMUSEAU Thomas | 64 |
| 11 | COURTEILLE Arnaud | 62 |
| 13 | BOUHANNI Nacer | 65 |
| 18 | MOLARD Rudy | 62 |