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 = -40.1 * weight + 3584
This means that on average for every extra kilogram weight a rider loses -40.1 positions in the result.
Bracke
1
79 kgMortensen
2
70 kgVasseur
990
67 kgMonseré
990
66 kgDe Vlaeminck
990
74 kgJanssen
990
76 kgJansen
990
70 kg
1
79 kgMortensen
2
70 kgVasseur
990
67 kgMonseré
990
66 kgDe Vlaeminck
990
74 kgJanssen
990
76 kgJansen
990
70 kg
Weight (KG) →
Result →
79
66
1
990
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BRACKE Ferdinand | 79 |
| 2 | MORTENSEN Leif | 70 |
| 990 | VASSEUR Alain | 67 |
| 990 | MONSERÉ Jean-Pierre | 66 |
| 990 | DE VLAEMINCK Roger | 74 |
| 990 | JANSSEN Jan | 76 |
| 990 | JANSEN Harrie | 70 |