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 = 0.2 * weight - 5
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MEIER Christian | 61 |
| 2 | KERN Julian | 65 |
| 3 | VOIGT Jens | 76 |
| 4 | FRANK Mathias | 64 |
| 5 | BARDET Romain | 65 |
| 7 | BUCHMANN Emanuel | 59 |
| 8 | PINOT Thibaut | 63 |
| 9 | DELAPLACE Anthony | 65 |
| 10 | KÖNIG Leopold | 62 |
| 11 | GASTAUER Ben | 73 |
| 12 | PARRA Heiner Rodrigo | 51 |
| 13 | VICHOT Arthur | 74 |
| 15 | BENNETT Sam | 73 |
| 17 | KADRI Blel | 66 |
| 18 | SCHORN Daniel | 72 |
| 19 | HUZARSKI Bartosz | 69 |