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 = -1.6 * weight + 127
This means that on average for every extra kilogram weight a rider loses -1.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CHEULA Giampaolo | 62 |
| 2 | MURAVYEV Dmitriy | 75 |
| 5 | KASHECHKIN Andrey | 70 |
| 10 | LJUNGBLAD Jonas | 70 |
| 11 | ADAMSSON Stefan | 68 |
| 20 | KIRCHEN Kim | 68 |
| 22 | SOUTHAM Tom | 69 |
| 25 | SCHLECK Fränk | 65 |
| 43 | SCARPONI Michele | 62 |