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 + 50
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Duclos-Lassalle
2
73 kgKelly
4
77 kgZoetemelk
8
68 kgYates
13
74 kgDe Wilde
14
70 kg
2
73 kgKelly
4
77 kgZoetemelk
8
68 kgYates
13
74 kgDe Wilde
14
70 kg
Weight (KG) →
Result →
77
68
2
14
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DUCLOS-LASSALLE Gilbert | 73 |
| 4 | KELLY Sean | 77 |
| 8 | ZOETEMELK Joop | 68 |
| 13 | YATES Sean | 74 |
| 14 | DE WILDE Etienne | 70 |