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 = 0.3 * weight - 12
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PIIL Jakob Storm | 65 |
| 2 | TAFI Andrea | 73 |
| 3 | DE JONGH Steven | 76 |
| 5 | ARVESEN Kurt-Asle | 74 |
| 8 | VANDBORG Brian Bach | 75 |
| 9 | MICHAELSEN Lars | 79 |
| 10 | JOHANSEN Allan | 78 |
| 11 | BODROGI László | 79 |
| 12 | HOFFMAN Tristan | 80 |
| 13 | USOV Alexandre | 63 |
| 14 | BARTKO Robert | 78 |
| 15 | DEAN Julian | 72 |
| 16 | CANCELLARA Fabian | 80 |