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 + 7
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LUTSENKO Alexey | 74 |
| 2 | CECCHIN Alberto | 70 |
| 3 | DI GRÉGORIO Rémy | 67 |
| 4 | FUGLSANG Jakob | 67 |
| 5 | KOZHATAYEV Bakhtiyar | 62 |
| 6 | GIDICH Yevgeniy | 69 |
| 7 | STÜSSI Colin | 68 |
| 9 | BAILLIFARD Valentin | 54 |
| 10 | BOGDANOVIČS Māris | 68 |
| 12 | MONIER Damien | 75 |
| 13 | TANFIELD Harry | 79.5 |
| 14 | TOWNSEND Rory | 73 |
| 15 | NATAROV Yuriy | 68 |
| 17 | NIKITIN Matvey | 61 |