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 = -0.5 * weight + 63
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SCORTICATI Renato | 68 |
| 3 | BARTALI Gino | 69 |
| 11 | BUSE Hermann | 74 |
| 17 | RAMOS Rafael | 64 |
| 18 | CHAVARD Guillaume | 84 |
| 19 | VAN SCHENDEL Albert | 72 |
| 23 | MARTIN Hans | 69 |
| 26 | ERNE August | 70 |
| 28 | LEVEL Léon | 64 |
| 31 | LATORRE Antoine | 63 |
| 40 | ALZINE Jacques | 75 |
| 45 | GARCIA Jean | 57 |
| 47 | HEIMANN Theo | 73 |
| 49 | EGLI Paul | 72 |
| 56 | FIRPO Giovanni | 72 |
| 57 | LANTERI Paulin | 63 |