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 + 22
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BAGIOLI Andrea | 60 |
| 2 | ROGLIČ Primož | 65 |
| 3 | BISSEGGER Stefan | 78 |
| 4 | DUMOULIN Tom | 69 |
| 5 | FETTER Erik | 70 |
| 6 | GARAVAGLIA Giacomo | 65 |
| 7 | MARTIN Guillaume | 55 |
| 8 | ALMEIDA João | 63 |
| 9 | MOLLEMA Bauke | 64 |
| 10 | CONTI Valerio | 61 |
| 11 | REIJNEN Kiel | 63 |
| 12 | PLANCKAERT Edward | 71 |
| 13 | CHAMPOUSSIN Clément | 61 |
| 14 | BERNAL Egan | 60 |
| 15 | HAGEN Carl Fredrik | 65 |