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 + 23
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BENNETT Sam | 73 |
| 2 | VAN POPPEL Danny | 82 |
| 3 | ABERASTURI Jon | 69 |
| 4 | ANIOŁKOWSKI Stanisław | 68 |
| 5 | LEITÃO Iúri | 65 |
| 6 | NUNES Hugo | 64 |
| 7 | MØRKØV Michael | 71 |
| 8 | IRISARRI Jon | 66 |
| 9 | DRIZNERS Jarrad | 70 |
| 10 | OLIVEIRA Rui | 66 |
| 11 | HAYTER Ethan | 70 |
| 12 | CÉSAR VELOSO Gustavo | 69 |
| 13 | ARISTI Mikel | 72 |
| 14 | CANAL Carlos | 70 |