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 + 21
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RÄIM Mihkel | 69 |
| 2 | KISKONEN Siim | 64 |
| 3 | JÕEÄÄR Gert | 84 |
| 5 | LAAS Martin | 76 |
| 6 | VAHTRA Norman | 85 |
| 7 | ÄRM Rait | 75 |
| 8 | NISU Oskar | 84 |
| 9 | MIHKELS Madis | 75 |
| 10 | KARPENKO Gleb | 77 |
| 11 | LAUK Karl Patrick | 69 |
| 12 | JAKIN Alo | 71 |
| 14 | TAARAMÄE Rein | 73 |
| 16 | PAJUR Markus | 72 |
| 19 | UULIMAA Ats | 69 |
| 26 | ROOS Andre | 76 |
| 28 | KURITS Joonas | 74 |