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 = 2 * weight - 118
This means that on average for every extra kilogram weight a rider loses 2 positions in the result.
Bobet
1
74 kgGaul
3
64 kgOckers
8
61 kgImpanis
13
69 kgDe Bruyne
17
68 kgForestier
32
70 kgVan Steenbergen
55
83 kg
1
74 kgGaul
3
64 kgOckers
8
61 kgImpanis
13
69 kgDe Bruyne
17
68 kgForestier
32
70 kgVan Steenbergen
55
83 kg
Weight (KG) →
Result →
83
61
1
55
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOBET Louison | 74 |
| 3 | GAUL Charly | 64 |
| 8 | OCKERS Stan | 61 |
| 13 | IMPANIS Raymond | 69 |
| 17 | DE BRUYNE Alfred | 68 |
| 32 | FORESTIER Jean | 70 |
| 55 | VAN STEENBERGEN Rik | 83 |