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 + 33
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GERTS Floris | 71 |
| 2 | HULGAARD Morten | 73 |
| 3 | BOUTS Jordy | 62 |
| 4 | BUDDING Martijn | 74 |
| 5 | HINDSGAUL Jacob | 67 |
| 6 | PRICE-PEJTERSEN Johan | 83 |
| 7 | BENFATTO Marco | 71 |
| 8 | MUNK Steffen | 67 |
| 9 | VAN BREUSSEGEM Elias | 68 |
| 10 | PELLAUD Simon | 70 |
| 12 | NAUDTS Thomas | 60 |
| 14 | PAGE Dylan | 64 |
| 16 | STEDMAN Maximilian | 54 |
| 17 | TRONET Steven | 67 |
| 19 | MCDUNPHY Conn | 70 |
| 23 | SPREAFICO Matteo | 69 |