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 = 9.7 * weight - 72
This means that on average for every extra kilogram weight a rider loses 9.7 positions in the result.
De Wilde
2
70 kgLeMond
4
67 kgvan Vliet
990
65 kgPriem
990
75 kgGlaus
990
67 kg
2
70 kgLeMond
4
67 kgvan Vliet
990
65 kgPriem
990
75 kgGlaus
990
67 kg
Weight (KG) →
Result →
75
65
2
990
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DE WILDE Etienne | 70 |
| 4 | LEMOND Greg | 67 |
| 990 | VAN VLIET Leo | 65 |
| 990 | PRIEM Cees | 75 |
| 990 | GLAUS Gilbert | 67 |