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 + 5
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LAPORTE Christophe | 76 |
| 2 | BOUHANNI Nacer | 65 |
| 3 | PEDERSEN Mads | 76 |
| 4 | NIZZOLO Giacomo | 72 |
| 5 | KWIATKOWSKI Michał | 68 |
| 6 | MEEUS Jordi | 80 |
| 7 | COQUARD Bryan | 59 |
| 8 | DEGENKOLB John | 82 |
| 9 | STEWART Jake | 66 |
| 10 | VAN POPPEL Danny | 82 |
| 11 | MERLIER Tim | 76 |
| 12 | VALLÉE Boris | 79 |
| 13 | NIBALI Vincenzo | 65 |
| 14 | WÜRTZ SCHMIDT Mads | 70 |
| 15 | VAN AVERMAET Greg | 74 |