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 * weight + 9
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MUNK Steffen | 67 |
| 2 | CALLEEUW Joeri | 71 |
| 3 | STANNARD Robert | 74 |
| 5 | DLAMINI Nic | 66 |
| 6 | LECROQ Jérémy | 70 |
| 7 | KRIEGER Alexander | 71 |
| 8 | QUAADE Rasmus | 77 |
| 9 | MACKINNON Sean | 75 |
| 10 | LE ROUX Romain | 59 |