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 = -0.4 * weight + 38
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN BAARLE Dylan | 78 |
| 2 | GROENEWEGEN Dylan | 70 |
| 3 | ZABEL Rick | 81 |
| 4 | FLAKEMORE Campbell | 72 |
| 6 | ZEPUNTKE Ruben | 76 |
| 7 | TEUNISSEN Mike | 73 |
| 8 | HOWSON Damien | 68 |
| 12 | VAN GINNEKEN Sjoerd | 72 |
| 13 | MCCORMICK Hayden | 72.5 |