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 | ROGLIČ Primož | 65 |
| 2 | ARANBURU Alex | 63 |
| 3 | TRATNIK Jan | 67 |
| 4 | SCULLY Tom | 85 |
| 5 | ČERNÝ Josef | 75 |
| 6 | VAN BAARLE Dylan | 78 |
| 7 | BAGIOLI Andrea | 60 |
| 8 | CRADDOCK Lawson | 69 |
| 9 | MATTHEWS Michael | 72 |
| 10 | VLASOV Aleksandr | 68 |
| 11 | POLANC Jan | 62 |
| 12 | KUSS Sepp | 61 |
| 13 | HAGA Chad | 71.5 |
| 14 | BARDET Romain | 65 |
| 15 | MAS Enric | 61 |