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 - 27
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CASAGRANDE Francesco | 64 |
| 3 | SAVOLDELLI Paolo | 72 |
| 5 | VALOTI Paolo | 64 |
| 7 | GUIDI Fabrizio | 73 |
| 20 | MØLLER Claus Michael | 70 |
| 21 | MAZZANTI Luca | 64 |
| 23 | BARTOLI Michele | 65 |
| 27 | CELESTINO Mirko | 67 |
| 28 | MILESI Marco | 78 |
| 30 | TOSATTO Matteo | 74 |
| 31 | TRENTI Guido | 68 |