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 + 15
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZIMMERMANN Georg | 70 |
| 2 | SLIK Ivar | 71 |
| 4 | MOSCHETTI Matteo | 73 |
| 5 | OVECHKIN Artem | 61 |
| 7 | KRIZEK Matthias | 74 |
| 8 | SEFA Ylber | 72 |
| 10 | HABTOM Awet | 65 |
| 11 | ZARDINI Edoardo | 62 |
| 13 | SCHINNAGEL Johannes | 68 |
| 14 | KOSHEVOY Ilia | 62.5 |
| 15 | VAHTRA Norman | 85 |
| 16 | RAILEANU Cristian | 63 |
| 17 | RAHBEK Mads | 66 |