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 + 5
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KWIATKOWSKI Michał | 68 |
| 2 | SLAGTER Tom-Jelte | 57 |
| 3 | VICHOT Arthur | 74 |
| 4 | SAGAN Peter | 78 |
| 5 | DUMOULIN Tom | 69 |
| 6 | MOSER Moreno | 64 |
| 7 | DOWSETT Alex | 75 |
| 8 | MALORI Adriano | 68 |
| 9 | MÍNGUEZ Miguel | 59 |
| 10 | PUCCIO Salvatore | 68 |
| 11 | DENNIS Rohan | 72 |
| 12 | CIMOLAI Davide | 70 |
| 13 | LODEWYCK Klaas | 70 |
| 14 | BRAVO Garikoitz | 61 |
| 15 | APPOLLONIO Davide | 67 |
| 16 | DÉMARE Arnaud | 76 |