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 - 6
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RUBIANO Miguel Angel | 58 |
| 2 | COLLI Daniele | 73 |
| 6 | ZHUPA Eugert | 78 |
| 9 | LAGKUTI Sergiy | 68 |
| 11 | BUTS Vitaliy | 68 |
| 12 | VASYLYUK Andriy | 65 |
| 13 | BANDIERA Marco | 68 |
| 14 | BOUGLAS Georgios | 71 |
| 15 | TOFFALI Nicola | 75 |