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 = 0.1 * weight + 7
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PEARSON Daniel | 53 |
| 2 | HAVIK Piotr | 73 |
| 3 | RAVANELLI Simone | 66 |
| 4 | CHRISTENSEN Ryan | 63 |
| 5 | BUSATO Matteo | 67 |
| 7 | HULGAARD Morten | 73 |
| 9 | NAUDTS Thomas | 60 |
| 11 | TRONET Steven | 67 |
| 12 | PELLAUD Simon | 70 |
| 14 | BISOLTI Alessandro | 58 |
| 15 | STEDMAN Maximilian | 54 |
| 16 | BOUTS Jordy | 62 |
| 18 | GERTS Floris | 71 |
| 20 | MUNK Steffen | 67 |
| 21 | RAPPO Anthony | 63 |
| 22 | MCDUNPHY Conn | 70 |