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 = 10.7 * weight + 89
This means that on average for every extra kilogram weight a rider loses 10.7 positions in the result.
Zoetemelk
3
68 kgvan Vliet
990
65 kgPriem
990
75 kgLeMond
990
67 kgGlaus
990
67 kgDe Wilde
990
70 kg
3
68 kgvan Vliet
990
65 kgPriem
990
75 kgLeMond
990
67 kgGlaus
990
67 kgDe Wilde
990
70 kg
Weight (KG) →
Result →
75
65
3
990
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | ZOETEMELK Joop | 68 |
| 990 | VAN VLIET Leo | 65 |
| 990 | PRIEM Cees | 75 |
| 990 | LEMOND Greg | 67 |
| 990 | GLAUS Gilbert | 67 |
| 990 | DE WILDE Etienne | 70 |