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) |
|---|---|---|
| 21 | SUCHEV Mario | 68 |
| 22 | ANDREEV Yordan | 63 |
| 28 | NOBEL Rick | 78 |
| 32 | BALKAN Serkan | 64 |
| 33 | KOLEV Yoan | 64 |
| 37 | DYANKOV Nikolay | 61 |
| 38 | DYANKOV Denis | 65 |
| 41 | VELIA Olsian | 74 |
| 44 | GREEN Siméon | 70 |
| 45 | SOULA Guillaume | 68 |