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 = 0.9 * weight - 48
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SAYAR Mustafa | 64 |
| 4 | KÜÇÜKBAY Kemal | 70 |
| 5 | PETROV Danail Andonov | 63 |
| 6 | YATES Jeremy | 73 |
| 7 | GAEBEL Stefan | 68 |
| 12 | HASANIN Omar | 75 |
| 13 | JASER Nazir | 75 |
| 18 | KAL Miraç | 72 |
| 28 | WAIS Ahmad Badreddin | 71 |
| 53 | NADIRADZE Giorgi | 70 |