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 + 24
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Ovion
3
64 kgPijnen
6
72 kgGilson
9
70 kgGaida
10
65 kgvan den Hoek
11
77 kgHinault
19
62 kg
3
64 kgPijnen
6
72 kgGilson
9
70 kgGaida
10
65 kgvan den Hoek
11
77 kgHinault
19
62 kg
Weight (KG) →
Result →
77
62
3
19
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | OVION Régis | 64 |
| 6 | PIJNEN René | 72 |
| 9 | GILSON Roger | 70 |
| 10 | GAIDA Alfred | 65 |
| 11 | VAN DEN HOEK Aad | 77 |
| 19 | HINAULT Bernard | 62 |