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 = 0.5 * weight - 6
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAGNUSSON Glenn | 70 |
| 2 | MICKIEWICZ Jacek | 74 |
| 3 | ZAMANA Cezary | 74 |
| 5 | VOGONDY Nicolas | 62 |
| 8 | KLIER Andreas | 72 |
| 12 | SCHNIDER Daniel | 65 |
| 13 | MORIN Anthony | 79 |
| 25 | MURN Uroš | 70 |
| 28 | LOTZ Marc | 76 |
| 29 | SYPYTKOWSKI Andrzej | 76 |
| 36 | PAUMIER Laurent | 57 |
| 38 | CAPELLE Ludovic | 75 |
| 42 | GONO Marcel | 69 |
| 53 | GABRIEL Frédéric | 60 |
| 54 | MCCANN David | 73 |
| 61 | GRABSCH Bert | 78 |
| 63 | FÖRSTER Robert | 83 |