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 = 0.1 * weight - 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MCCARTHY Jay | 63 |
| 2 | LUTSENKO Alexey | 74 |
| 3 | BARBIN Enrico | 60 |
| 4 | SCHELLING Patrick | 61 |
| 5 | BONGIORNO Francesco Manuel | 56 |
| 6 | ARU Fabio | 63 |
| 7 | DOMONT Axel | 65 |
| 8 | KONRAD Patrick | 64 |
| 9 | WELLENS Tim | 71 |
| 10 | VERONA Carlos | 68 |