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 + 40
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MALUCELLI Matteo | 68 |
| 2 | VAHTRA Norman | 85 |
| 3 | SALBY Alexander | 68 |
| 4 | LAAS Martin | 76 |
| 5 | HODEG Álvaro José | 76 |
| 6 | RAJOVIĆ Dušan | 74 |
| 7 | RASCH Jesper | 71 |
| 8 | SCOTT Cameron | 80 |
| 10 | CAVIA Daniel | 62 |
| 11 | GROSU Eduard-Michael | 68 |
| 12 | PEÑALVER Manuel | 67 |
| 14 | MULUBRHAN Henok | 60 |
| 15 | SEXTON Tom | 71 |
| 16 | GATE Aaron | 71 |
| 17 | GIDICH Yevgeniy | 69 |
| 18 | HAMDAN Wan Abdul Rahman | 66 |