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 = -0.6 * weight + 48
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Navarro
1
77 kgKelly
5
77 kgChiappucci
7
67 kgDomínguez
8
67 kgMujika
10
73 kgSchepers
15
60 kg
1
77 kgKelly
5
77 kgChiappucci
7
67 kgDomínguez
8
67 kgMujika
10
73 kgSchepers
15
60 kg
Weight (KG) →
Result →
77
60
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NAVARRO Francisco | 77 |
| 5 | KELLY Sean | 77 |
| 7 | CHIAPPUCCI Claudio | 67 |
| 8 | DOMÍNGUEZ Manuel Jorge | 67 |
| 10 | MUJIKA Jokin | 73 |
| 15 | SCHEPERS Eddy | 60 |