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 = 0.4 * weight - 15
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TRARIEUX Julien | 71 |
| 2 | SAINBAYAR Jambaljamts | 60 |
| 3 | RAILEANU Cristian | 63 |
| 5 | RIKUNOV Petr | 71 |
| 6 | SIRIRONNACHAI Sarawut | 61 |
| 7 | CHAWCHIANGKWANG Peerapol | 64 |
| 8 | MAIKIN Roman | 68 |
| 9 | PICCOLI James | 65 |
| 12 | KUZMIN Anton | 66 |
| 13 | BOGDANOVIČS Māris | 68 |
| 14 | CHAIYASOMBAT Thanakhan | 58 |
| 15 | DE ROSSI Lucas | 70 |
| 18 | MEIJERS Jeroen | 68 |
| 20 | SMIT Willie | 72 |