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 = -0.4 * weight + 43
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Elliott
2
76 kgKelly
5
77 kgRoche
10
74 kgGianetti
15
62 kgHoste
18
76 kgHodge
20
74 kg
2
76 kgKelly
5
77 kgRoche
10
74 kgGianetti
15
62 kgHoste
18
76 kgHodge
20
74 kg
Weight (KG) →
Result →
77
62
2
20
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ELLIOTT Malcolm | 76 |
| 5 | KELLY Sean | 77 |
| 10 | ROCHE Stephen | 74 |
| 15 | GIANETTI Mauro | 62 |
| 18 | HOSTE Frank | 76 |
| 20 | HODGE Stephen | 74 |