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 = -0.1 * weight + 15
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MOLLEMA Bauke | 64 |
| 2 | EENKHOORN Pascal | 72 |
| 3 | ROSA Diego | 65 |
| 4 | CRADDOCK Lawson | 69 |
| 5 | CICCONE Giulio | 58 |
| 6 | BALLERINI Davide | 71 |
| 7 | MARTIN Guillaume | 55 |
| 8 | LAWLESS Chris | 72 |
| 9 | CARAPAZ Richard | 62 |
| 10 | PEDERSEN Casper | 71 |
| 11 | BOUWMAN Koen | 60 |
| 12 | CANOLA Marco | 66 |
| 13 | SOSA Iván Ramiro | 52 |
| 15 | HAMILTON Lucas | 71 |
| 16 | FEDELI Alessandro | 65 |