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 + 10
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | POGAČAR Tadej | 66 |
| 2 | SCHULTZ Nick | 68 |
| 3 | BIZKARRA Mikel | 53 |
| 5 | LANDA Mikel | 61 |
| 6 | JANSSENS Jimmy | 74 |
| 7 | VLASOV Aleksandr | 68 |
| 8 | WILLIAMS Stephen | 59 |
| 9 | PETILLI Simone | 65 |
| 10 | BERNAL Egan | 60 |
| 11 | COLLEONI Kevin | 66 |
| 12 | FERNÁNDEZ Samuel | 57 |
| 13 | DE PLUS Laurens | 67 |
| 14 | BAUDIN Alex | 64 |
| 16 | GROßSCHARTNER Felix | 64 |