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 + 13
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BEVIN Patrick | 75 |
| 3 | DOULL Owain | 71 |
| 6 | PETTITI Alessandro | 71 |
| 7 | EIBEGGER Markus | 68 |
| 8 | PICHETTA Ricardo | 56 |
| 9 | ARCHBOLD Shane | 79 |
| 11 | BALLERINI Davide | 71 |
| 14 | WOOD Oliver | 72 |
| 17 | LAWLESS Chris | 72 |
| 18 | MÜHLBERGER Gregor | 64 |
| 24 | PETERS Alex | 67 |
| 27 | BIAŁOBŁOCKI Marcin | 79 |
| 31 | LAMPIER Steven | 68 |