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 * weight + 7
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EVENEPOEL Remco | 63 |
| 2 | GANNA Filippo | 83 |
| 3 | ALMEIDA João | 63 |
| 4 | GEOGHEGAN HART Tao | 65 |
| 5 | KÜNG Stefan | 83 |
| 6 | ROGLIČ Primož | 65 |
| 7 | VINE Jay | 69 |
| 8 | MCNULTY Brandon | 69 |
| 9 | THOMAS Geraint | 71 |
| 10 | VLASOV Aleksandr | 68 |