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 + 86
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NAZARET Magno | 65 |
| 3 | MÉDICI Matías | 70 |
| 4 | NICÁCIO Pedro | 72 |
| 7 | PANIZO Gregolry | 72 |
| 10 | ARSENO Alex | 71 |
| 11 | SEABRA Renato | 67 |
| 15 | BULGARELLI Otavio | 69 |
| 16 | ANDRIATO Rafael | 67 |
| 24 | BRUNETTA Guillermo | 97 |
| 29 | SEPULVEDA Luis Fernando | 66 |
| 40 | RAMOS Kléber | 65 |
| 49 | OCHOA Carlos José | 62 |
| 51 | MAY Márcio | 73 |
| 54 | QUADRI Hernandes | 67 |
| 57 | FIORILLI Tiago | 63 |
| 65 | ARRIAGADA Marcelo Ruben | 56 |