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 - 25
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GARCÍA Mavi | 56 |
| 2 | SIERRA Arlenis | 57 |
| 3 | NEYLAN Rachel | 52 |
| 5 | ZANARDI Silvia | 56 |
| 8 | MALCOTTI Barbara | 52 |
| 16 | PISCIALI Francesca | 63 |
| 18 | VITILLO Matilde | 51 |
| 20 | VALSECCHI Silvia | 58 |
| 21 | STANNARD Elizabeth | 55 |
| 22 | SCANDOLARA Valentina | 52 |
| 23 | CHURSINA Anastasiia | 52 |
| 25 | TEOLIS Jade | 52 |
| 28 | POLLICINI Silvia | 57 |
| 36 | MISSIAGGIA Alessia | 53 |
| 49 | COLLINELLI Sofia | 62 |