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 = 0.6 * weight - 30
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ANDRIATO Rafael | 67 |
| 3 | SEVILLA Óscar | 62 |
| 4 | MONSALVE Yonathan | 62 |
| 5 | ZANGERLE Joel | 63 |
| 6 | RAMOS Kléber | 65 |
| 7 | NAZARET Magno | 65 |
| 9 | CÉSAR VELOSO Gustavo | 69 |
| 11 | CECCHINEL Giorgio | 69 |
| 12 | PANIZO Gregolry | 72 |
| 13 | AFFONSO Murilo | 63 |