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 * weight + 10
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GRIVKO Andrey | 70 |
| 2 | PINOTTI Marco | 67 |
| 3 | CIONI Dario David | 72 |
| 4 | GIORDANI Leonardo | 68 |
| 5 | GRABOVSKYY Dmytro | 69 |
| 6 | BERNUCCI Lorenzo | 72 |
| 7 | SABATINI Fabio | 74 |
| 9 | LANCASTER Brett | 78 |
| 10 | SHPILEVSKY Boris | 78 |
| 11 | MORI Manuele | 62 |
| 13 | PIEMONTESI Fabrice | 61 |
| 15 | BALLAN Alessandro | 73 |
| 18 | SANTAMBROGIO Mauro | 63 |
| 19 | MORI Massimiliano | 77 |