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 = 0.1 * weight + 3
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TUREK Daniel | 72 |
| 2 | HINDSGAUL Jacob | 67 |
| 3 | SCOTT Jacob | 68 |
| 4 | FEDELI Alessandro | 65 |
| 5 | PERRY Benjamin | 71 |
| 6 | WIRTGEN Luc | 63 |
| 7 | MULUBRHAN Henok | 60 |
| 8 | TEGGART Matthew | 63 |
| 11 | NIETO Edgar | 58 |
| 12 | MURPHY Kyle | 67 |
| 15 | WIRTGEN Tom | 77 |
| 16 | HOLTHER Trym Westgaard | 68 |
| 17 | SZARKA Gergely | 67 |