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 = 32.7 * weight - 1989
This means that on average for every extra kilogram weight a rider loses 32.7 positions in the result.
Zoetemelk
2
68 kgVan Impe
3
59 kgde Rooij
17
69 kgSutter
20
70 kgDemierre
990
70 kg
2
68 kgVan Impe
3
59 kgde Rooij
17
69 kgSutter
20
70 kgDemierre
990
70 kg
Weight (KG) →
Result →
70
59
2
990
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ZOETEMELK Joop | 68 |
| 3 | VAN IMPE Lucien | 59 |
| 17 | DE ROOIJ Theo | 69 |
| 20 | SUTTER Ueli | 70 |
| 990 | DEMIERRE Serge | 70 |