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 + 25
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JENSEN August | 67 |
| 2 | ŠPILAK Simon | 68 |
| 3 | NORDHAUG Lars Petter | 63 |
| 4 | ELMIGER Martin | 73 |
| 5 | WILMANN Frederik | 69 |
| 6 | TIMMER Albert | 77 |
| 9 | KRUIJSWIJK Steven | 63 |
| 10 | VOß Paul | 66 |
| 11 | BRÄNDLE Matthias | 80 |
| 12 | VAN HECKE Preben | 69 |
| 13 | SCHORN Daniel | 72 |
| 14 | SEELDRAEYERS Kevin | 60 |
| 16 | HIVERT Jonathan | 62 |
| 18 | FRATTINI Davide | 63 |