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 - 7
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 | KOOIJ Olav | 72 |
| 3 | NARVÁEZ Jhonatan | 65 |
| 4 | HAYTER Ethan | 70 |
| 5 | CONCI Nicola | 68 |
| 6 | BAUHAUS Phil | 75 |
| 7 | ULISSI Diego | 63 |
| 8 | VERMEERSCH Gianni | 68 |
| 9 | FINETTO Mauro | 62 |
| 10 | PERSICO Davide | 65 |
| 11 | ALMEIDA João | 63 |
| 12 | PASQUALON Andrea | 75 |
| 13 | MOSCA Jacopo | 65 |
| 14 | DI FELICE Francesco | 70 |
| 15 | BAKELANTS Jan | 67 |
| 16 | DRUCKER Jempy | 75 |