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 + 27
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ABERASTURI Jon | 69 |
| 2 | BARBERO Carlos | 66 |
| 3 | BRAVO Garikoitz | 61 |
| 4 | VAN WINDEN Dennis | 70 |
| 5 | PRADES Benjamín | 56 |
| 6 | MILÁN Diego | 67 |
| 7 | EZQUERRA Jesús | 68 |
| 8 | MOSCHETTI Matteo | 73 |
| 9 | REZA Kévin | 71 |
| 10 | FERNÁNDEZ Delio | 69 |
| 12 | GONZÁLEZ Mario | 65 |
| 13 | FIGUEIREDO Frederico | 56 |
| 14 | RUBIANO Miguel Angel | 58 |
| 15 | VILELA Ricardo | 59 |