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 = -1.3 * weight + 104
This means that on average for every extra kilogram weight a rider loses -1.3 positions in the result.
Elliott
2
76 kgde Vries
5
75 kgSkibby
12
70 kgvan der Poel
13
70 kgRipoll
15
66 kg
2
76 kgde Vries
5
75 kgSkibby
12
70 kgvan der Poel
13
70 kgRipoll
15
66 kg
Weight (KG) →
Result →
76
66
2
15
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ELLIOTT Malcolm | 76 |
| 5 | DE VRIES Gerrit | 75 |
| 12 | SKIBBY Jesper | 70 |
| 13 | VAN DER POEL Adrie | 70 |
| 15 | RIPOLL José Andrés | 66 |