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 = -0.6 * weight + 55
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LATHAM Christopher | 81 |
| 2 | BAKKER Dennis | 74.5 |
| 3 | VAN SCHIP Jan-Willem | 84 |
| 7 | YSSAAD Yannis | 69 |
| 8 | TENNANT Andrew | 82 |
| 9 | WEEMAES Sasha | 73 |
| 10 | KASPERKIEWICZ Przemysław | 71 |
| 12 | POULHIÈS Stéphane | 75 |
| 13 | MEIJERS Daan | 70 |
| 16 | GRANIGAN Noah | 76 |
| 19 | JERMAN Žiga | 67 |
| 20 | MULHERN Mitchell | 75 |