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 = 0.2 * weight - 2
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MUGISHA Samuel | 62 |
| 2 | LAURANCE Axel | 63 |
| 4 | MADRAZO Ángel | 61 |
| 6 | MULUBRHAN Henok | 60 |
| 7 | TESFATSION Natnael | 60 |
| 8 | GOLDSTEIN Omer | 61 |
| 9 | STOKBRO Andreas | 70 |
| 11 | HOLLER Nikodemus | 58 |
| 12 | GOEMAN Andreas | 64 |
| 16 | EZQUERRA Jesús | 68 |
| 17 | MUGISHA Moise | 58 |
| 19 | HAYTER Leo | 66 |
| 20 | BUDYAK Anatoliy | 53 |
| 22 | MANIZABAYO Eric | 72 |