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 - 23
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | COLOMBO Gabriele | 70 |
| 2 | SGAMBELLURI Roberto | 63 |
| 4 | VOGONDY Nicolas | 62 |
| 5 | BARANOWSKI Dariusz | 68 |
| 7 | GUIDI Fabrizio | 73 |
| 8 | VIERHOUTEN Aart | 71 |
| 9 | PIZIKS Arvis | 70 |
| 10 | MATTAN Nico | 69 |