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 + 30
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | YATES Jeremy | 73 |
| 3 | PETROV Danail Andonov | 63 |
| 5 | KÜÇÜKBAY Kemal | 70 |
| 7 | SAYAR Mustafa | 64 |
| 8 | HASANIN Omar | 75 |
| 9 | JASER Nazir | 75 |
| 14 | GAEBEL Stefan | 68 |
| 32 | AKGUL Bilal | 59 |
| 35 | WAIS Ahmad Badreddin | 71 |
| 41 | KAL Miraç | 72 |
| 55 | NADIRADZE Giorgi | 70 |