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 = 0.5 * weight - 18
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PETTITI Alessandro | 71 |
| 3 | EIBEGGER Markus | 68 |
| 4 | DOULL Owain | 71 |
| 6 | BEVIN Patrick | 75 |
| 7 | PICHETTA Ricardo | 56 |
| 8 | LAMPIER Steven | 68 |
| 11 | MÜHLBERGER Gregor | 64 |
| 13 | PETERS Alex | 67 |
| 16 | TEDESCHI Mirko | 69 |
| 17 | BALLERINI Davide | 71 |
| 18 | MCCONVEY Connor | 67 |
| 22 | BIAŁOBŁOCKI Marcin | 79 |
| 24 | DIBBEN Jonathan | 78 |
| 29 | OCKELOEN Jasper | 66 |
| 32 | WACHTER Alexander | 72 |