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 = 0.3 * weight - 12
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | COVI Alessandro | 66 |
| 3 | FANCELLU Alessandro | 62 |
| 4 | BENNETT George | 58 |
| 5 | BRENNER Marco | 59 |
| 7 | MARCELLUSI Martin | 62 |
| 8 | RACCANI Simone | 64 |
| 9 | HOWSON Damien | 68 |
| 11 | CONTI Valerio | 61 |
| 12 | DE LA CRUZ David | 66 |