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 - 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | APPOLLONIO Davide | 67 |
| 2 | MESTRE Daniel | 65 |
| 3 | MALUCELLI Matteo | 68 |
| 4 | JENSEN August | 67 |
| 5 | FREITAS Daniel | 64 |
| 6 | GRIGOREV Aleksandr | 73 |
| 7 | GONÇALVES Gaspar | 64 |
| 8 | RÜEGG Lukas | 66 |
| 9 | REUTIMANN Matthias | 71 |
| 10 | TIZZA Marco | 58 |
| 11 | ARISTI Mikel | 72 |
| 12 | WELTEN Bram | 81 |
| 14 | RIBEIRO David | 63 |