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 = -0.2 * weight + 17
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Hardiquest
1
72 kgVissers
2
65 kgVerschueren
3
91 kgDictus
6
74 kgDecroix
16
68 kg
1
72 kgVissers
2
65 kgVerschueren
3
91 kgDictus
6
74 kgDecroix
16
68 kg
Weight (KG) →
Result →
91
65
1
16
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HARDIQUEST Louis | 72 |
| 2 | VISSERS Edward | 65 |
| 3 | VERSCHUEREN Denis | 91 |
| 6 | DICTUS Frans | 74 |
| 16 | DECROIX Emile | 68 |