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 = -0.1 * weight + 15
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Vingerling
1
75 kgOckeloen
4
66 kgKoning
5
77 kgWippert
6
75 kgKreder
8
70 kgSinkeldam
11
77 kgAsselman
13
69 kg
1
75 kgOckeloen
4
66 kgKoning
5
77 kgWippert
6
75 kgKreder
8
70 kgSinkeldam
11
77 kgAsselman
13
69 kg
Weight (KG) →
Result →
77
66
1
13
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VINGERLING Michael | 75 |
| 4 | OCKELOEN Jasper | 66 |
| 5 | KONING Peter | 77 |
| 6 | WIPPERT Wouter | 75 |
| 8 | KREDER Raymond | 70 |
| 11 | SINKELDAM Ramon | 77 |
| 13 | ASSELMAN Jesper | 69 |