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 + 6
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LEHNER Daniel | 63 |
| 2 | HABTOM Awet | 65 |
| 3 | OVECHKIN Artem | 61 |
| 4 | ZARDINI Edoardo | 62 |
| 5 | ZIMMERMANN Georg | 70 |
| 6 | SCHINNAGEL Johannes | 68 |
| 7 | BRKIC Benjamin | 58 |
| 9 | RAILEANU Cristian | 63 |
| 10 | KOSHEVOY Ilia | 62.5 |
| 11 | INKELAAR Kevin | 64 |
| 12 | CANTÓN Isaac | 65 |