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 - 6
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BEKAERT Yentl | 62 |
| 2 | QUINN Sean | 67 |
| 3 | FLYNN Sean | 67 |
| 4 | JOHANSEN Julius | 77 |
| 6 | ARENSMAN Thymen | 68 |
| 7 | VERBOOM Minne | 84 |
| 8 | SEDLACEK Vojtěch | 65 |
| 9 | SCHUNK Conor | 65 |
| 10 | BAYER Tobias | 71 |
| 12 | LEKNESSUND Andreas | 72 |
| 13 | BENZ Pirmin | 68 |
| 15 | SHEEHAN Riley | 69 |
| 16 | MÄRKL Niklas | 70 |
| 17 | WÆRENSKJOLD Søren | 92 |
| 18 | ALEOTTI Giovanni | 67 |