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 + 7
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GANNA Filippo | 83 |
| 2 | BARONCINI Filippo | 74 |
| 3 | CATTANEO Mattia | 67 |
| 4 | SOBRERO Matteo | 63 |
| 5 | FRIGO Marco | 70 |
| 6 | MILESI Lorenzo | 70 |
| 7 | BETTIOL Alberto | 69 |
| 8 | GAROFOLI Gianmarco | 62 |
| 9 | MAESTRI Mirco | 73 |
| 10 | MORO Manlio | 81 |
| 11 | PELLIZZARI Giulio | 66 |
| 12 | TONELLI Alessandro | 64 |
| 13 | RACCAGNI Gabriele | 63 |
| 14 | LUCCA Riccardo | 74 |
| 16 | FORTIN Filippo | 78 |
| 18 | RACCAGNI NOVIERO Andrea | 75 |