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 = 0.8 * weight - 36
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BRUNERO Giovanni | 66 |
| 3 | BRESCIANI Arturo | 74 |
| 5 | ENRICI Giuseppe | 64 |
| 8 | GREMO Angelo | 74 |
| 12 | PANCERA Giuseppe | 69 |
| 17 | ROSSIGNOLI Giovanni | 71 |
| 27 | TERRENI Azzelio | 63 |
| 29 | ARROSIO Mose | 70 |
| 33 | BARBATI Pietro | 71 |
| 38 | GAVINELLI Biaggio | 77 |