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 = 0.8 * weight - 49
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Elliott
2
76 kgDomínguez
3
67 kgRué
8
74 kgKelly
11
77 kgDe Wolf
13
75 kgPeeters
16
76 kg
2
76 kgDomínguez
3
67 kgRué
8
74 kgKelly
11
77 kgDe Wolf
13
75 kgPeeters
16
76 kg
Weight (KG) →
Result →
77
67
2
16
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ELLIOTT Malcolm | 76 |
| 3 | DOMÍNGUEZ Manuel Jorge | 67 |
| 8 | RUÉ Gérard | 74 |
| 11 | KELLY Sean | 77 |
| 13 | DE WOLF Fons | 75 |
| 16 | PEETERS Wilfried | 76 |