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 = -0.3 * weight + 26
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JAKIN Alo | 71 |
| 2 | PRUUS Peeter | 71 |
| 3 | JÕEÄÄR Gert | 84 |
| 4 | LAAS Martin | 76 |
| 5 | LAUK Karl Patrick | 69 |
| 6 | NISU Oskar | 84 |
| 8 | ÄRM Rait | 75 |
| 9 | PAJUR Markus | 72 |
| 10 | KISKONEN Siim | 64 |
| 12 | JOHANSON Kristjan | 74 |
| 14 | SANKMANN Joosep | 64 |
| 15 | PRANGEL Kristo | 74 |