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 + 20
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Gayant
4
69 kgHoste
6
76 kgElliott
8
76 kgYates
12
74 kgKelly
14
77 kgGianetti
16
62 kgHodge
18
74 kgRoche
20
74 kg
4
69 kgHoste
6
76 kgElliott
8
76 kgYates
12
74 kgKelly
14
77 kgGianetti
16
62 kgHodge
18
74 kgRoche
20
74 kg
Weight (KG) →
Result →
77
62
4
20
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | GAYANT Martial | 69 |
| 6 | HOSTE Frank | 76 |
| 8 | ELLIOTT Malcolm | 76 |
| 12 | YATES Sean | 74 |
| 14 | KELLY Sean | 77 |
| 16 | GIANETTI Mauro | 62 |
| 18 | HODGE Stephen | 74 |
| 20 | ROCHE Stephen | 74 |