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 = -42.2 * weight + 3287
This means that on average for every extra kilogram weight a rider loses -42.2 positions in the result.
Raas
3
72 kgBernaudeau
4
64 kgBourreau
6
63 kgHerrera
990
57 kgHinault
990
62 kgZoetemelk
990
68 kgvan Vliet
990
65 kg
3
72 kgBernaudeau
4
64 kgBourreau
6
63 kgHerrera
990
57 kgHinault
990
62 kgZoetemelk
990
68 kgvan Vliet
990
65 kg
Weight (KG) →
Result →
72
57
3
990
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | RAAS Jan | 72 |
| 4 | BERNAUDEAU Jean-René | 64 |
| 6 | BOURREAU Bernard | 63 |
| 990 | HERRERA Luis Alberto | 57 |
| 990 | HINAULT Bernard | 62 |
| 990 | ZOETEMELK Joop | 68 |
| 990 | VAN VLIET Leo | 65 |