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 = 0.2 * weight + 10
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DE ROOIJ Theo | 69 |
| 3 | PRIM Tommy | 76 |
| 5 | DE WOLF Fons | 75 |
| 6 | THALER Klaus-Peter | 60 |
| 7 | FERNÁNDEZ Juan | 68 |
| 12 | SARONNI Giuseppe | 65 |
| 18 | MAERTENS Freddy | 65 |
| 19 | SEGERSALL Alf | 65 |
| 20 | DEMIERRE Serge | 70 |
| 34 | KNUDSEN Knut | 79 |
| 38 | LADRÓN Rafael | 74 |
| 50 | LASA Miguel María | 68 |
| 73 | TREVORROW John | 67 |