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 = 0.5 * weight - 24
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BARBOSA Cândido | 72 |
| 2 | SOUSA Rui | 59 |
| 3 | EDO Ángel | 64 |
| 4 | BARANOWSKI Dariusz | 68 |
| 5 | AMORIM Gonçalo | 67 |
| 9 | HORRACH Joan Sebastian | 70 |
| 11 | SARKAUSKAS Saulius | 74 |
| 12 | PETROV Danail Andonov | 63 |
| 13 | KARPETS Vladimir | 79 |
| 17 | FLECHA Juan Antonio | 72 |