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 = 0.6 * weight - 30
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HERKLOTZ Silvio | 68 |
| 2 | KONRAD Patrick | 64 |
| 3 | MÜHLBERGER Gregor | 64 |
| 6 | MAGER Christian | 60 |
| 8 | HNÍK Karel | 57 |
| 11 | WIŚNIOWSKI Łukasz | 78 |
| 12 | HOELGAARD Markus | 74 |
| 15 | KALOJÍROS Tomáš | 68 |
| 19 | SCHWARZMANN Michael | 69 |
| 20 | PSZCZOLARSKI Wojciech | 73 |
| 21 | SISR František | 72 |