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 = -0.1 * weight + 13
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Schuiten
1
83 kgBourreau
4
63 kgHinault
5
62 kgOvion
6
64 kgPriem
7
75 kg
1
83 kgBourreau
4
63 kgHinault
5
62 kgOvion
6
64 kgPriem
7
75 kg
Weight (KG) →
Result →
83
62
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCHUITEN Roy | 83 |
| 4 | BOURREAU Bernard | 63 |
| 5 | HINAULT Bernard | 62 |
| 6 | OVION Régis | 64 |
| 7 | PRIEM Cees | 75 |