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:
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NORMAN LETH Lasse | 75 |
| 2 | COQUARD Bryan | 59 |
| 3 | KANTER Max | 68 |
| 4 | MERLIER Tim | 76 |
| 5 | WIPPERT Wouter | 75 |
| 6 | STOKBRO Andreas | 70 |
| 7 | KONGSTAD Tobias | 75 |
| 8 | MENTEN Milan | 68 |
| 9 | TILLER Rasmus | 84 |
| 10 | MEURISSE Xandro | 71 |
| 11 | LISSON Christoffer | 73 |
| 12 | LYHNE Daniel | 61 |
| 13 | RÄIM Mihkel | 69 |
| 15 | HOULE Hugo | 72 |
| 16 | SIMION Paolo | 79 |