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 + 36
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SCHULTING Peter | 70 |
| 3 | RASENBERG Martijn | 78 |
| 5 | LONARDI Giovanni | 70 |
| 6 | SYRITSA Gleb | 85 |
| 7 | THIJSSEN Gerben | 74 |
| 8 | EISING Tijmen | 80 |
| 9 | ABMA Elmar | 86 |
| 10 | DEHAIRS Simon | 82 |
| 11 | MARECZKO Jakub | 67 |
| 13 | VISSER Guillaume | 75 |
| 14 | TEUNISSEN Mike | 73 |
| 15 | BOHLI Tom | 71 |
| 16 | DE JONG Timo | 72 |
| 17 | KRIJNSEN Jelte | 73 |
| 19 | SIMMONS Colby | 68 |
| 20 | HEMING Miká | 68 |
| 22 | DISSEL Bram | 77 |