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 | HODEG Álvaro José | 76 |
| 2 | ACKERMANN Pascal | 78 |
| 3 | REUTTER Sven | 72 |
| 4 | BONIFAZIO Niccolò | 72 |
| 5 | JANSE VAN RENSBURG Reinardt | 74 |
| 6 | KRIEGER Alexander | 71 |
| 7 | GREIPEL André | 80 |
| 8 | REYNDERS Jens | 76 |
| 10 | ARCAS Jorge | 68 |
| 12 | ZABEL Rick | 81 |
| 13 | VAN MELSEN Kévin | 77 |
| 14 | SBARAGLI Kristian | 74 |