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 + 27
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PETTITI Alessandro | 71 |
| 3 | DOULL Owain | 71 |
| 5 | BEVIN Patrick | 75 |
| 7 | EIBEGGER Markus | 68 |
| 9 | MÜHLBERGER Gregor | 64 |
| 14 | TEDESCHI Mirko | 69 |
| 16 | DIBBEN Jonathan | 78 |
| 17 | MCCONVEY Connor | 67 |
| 20 | BIAŁOBŁOCKI Marcin | 79 |
| 23 | PETERS Alex | 67 |
| 24 | PICHETTA Ricardo | 56 |
| 26 | LAWLESS Chris | 72 |
| 30 | WOOD Oliver | 72 |