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 = -0.2 * weight + 26
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Azanza
7
74 kgGruel
9
70 kgHannes
10
62 kgTavares
11
58 kgHue
13
64 kgRagilo
15
70 kgDecomble
16
62 kg
7
74 kgGruel
9
70 kgHannes
10
62 kgTavares
11
58 kgHue
13
64 kgRagilo
15
70 kgDecomble
16
62 kg
Weight (KG) →
Result →
74
58
7
16
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | AZANZA Ibai | 74 |
| 9 | GRUEL Thibaud | 70 |
| 10 | HANNES Victor | 62 |
| 11 | TAVARES Gonçalo | 58 |
| 13 | HUE Antoine | 64 |
| 15 | RAGILO Frank Aron | 70 |
| 16 | DECOMBLE Maxime | 62 |