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 + 10
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HUNTER Robert | 72 |
| 2 | SUTTON Chris | 67 |
| 3 | FERRARI Roberto | 73 |
| 4 | CLARKE Simon | 63 |
| 5 | KEUKELEIRE Jens | 69 |
| 6 | VAN AVERMAET Greg | 74 |
| 7 | AAEN JØRGENSEN Jonas | 63 |
| 8 | WAGNER Robert | 75 |
| 9 | KLUGE Roger | 83 |
| 10 | SCHOFFMANN Martin | 67 |
| 12 | WEISSINGER René | 74 |
| 13 | SCHORN Daniel | 72 |
| 14 | HUZARSKI Bartosz | 69 |
| 15 | EDET Nicolas | 60 |
| 16 | BARRY Michael | 72 |