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 + 21
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CARSTENSEN Lucas | 69 |
| 2 | BABOR Daniel | 79 |
| 3 | GROSU Eduard-Michael | 68 |
| 4 | MCGEOUGH Cormac | 76 |
| 5 | BANASZEK Alan | 75 |
| 6 | DALLA VALLE Nicolas | 73 |
| 8 | RAILEANU Cristian | 63 |
| 9 | ŠTOČEK Matúš | 80 |
| 12 | RASCH Jesper | 71 |
| 13 | GATE Aaron | 71 |
| 14 | HEMING Miká | 68 |