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 = -9.9 * weight + 1394
This means that on average for every extra kilogram weight a rider loses -9.9 positions in the result.
Glaus
1
67 kgRaas
2
72 kgPriem
990
75 kgvan Vliet
990
65 kgLeMond
990
67 kgDe Wilde
990
70 kgZoetemelk
990
68 kg
1
67 kgRaas
2
72 kgPriem
990
75 kgvan Vliet
990
65 kgLeMond
990
67 kgDe Wilde
990
70 kgZoetemelk
990
68 kg
Weight (KG) →
Result →
75
65
1
990
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GLAUS Gilbert | 67 |
| 2 | RAAS Jan | 72 |
| 990 | PRIEM Cees | 75 |
| 990 | VAN VLIET Leo | 65 |
| 990 | LEMOND Greg | 67 |
| 990 | DE WILDE Etienne | 70 |
| 990 | ZOETEMELK Joop | 68 |