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 - 46
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Simpson
2
69 kgVan Looy
6
73 kgPoulidor
7
71 kgForé
13
73 kgForestier
15
70 kgImpanis
17
69 kgCerami
30
72 kg
2
69 kgVan Looy
6
73 kgPoulidor
7
71 kgForé
13
73 kgForestier
15
70 kgImpanis
17
69 kgCerami
30
72 kg
Weight (KG) →
Result →
73
69
2
30
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SIMPSON Tom | 69 |
| 6 | VAN LOOY Rik | 73 |
| 7 | POULIDOR Raymond | 71 |
| 13 | FORÉ Noël | 73 |
| 15 | FORESTIER Jean | 70 |
| 17 | IMPANIS Raymond | 69 |
| 30 | CERAMI Pino | 72 |