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 = -2.1 * weight + 152
This means that on average for every extra kilogram weight a rider loses -2.1 positions in the result.
van der Poel
1
70 kgDuclos-Lassalle
2
73 kgDe Wilde
3
70 kgZoetemelk
7
68 kgChevallier
21
69 kg
1
70 kgDuclos-Lassalle
2
73 kgDe Wilde
3
70 kgZoetemelk
7
68 kgChevallier
21
69 kg
Weight (KG) →
Result →
73
68
1
21
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN DER POEL Adrie | 70 |
| 2 | DUCLOS-LASSALLE Gilbert | 73 |
| 3 | DE WILDE Etienne | 70 |
| 7 | ZOETEMELK Joop | 68 |
| 21 | CHEVALLIER Philippe | 69 |