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 = 0.4 * weight - 15
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | SEVILLA Óscar | 62 |
| 4 | PANIZO Gregolry | 72 |
| 5 | ANDRIATO Rafael | 67 |
| 9 | NAZARET Magno | 65 |
| 10 | CÉSAR VELOSO Gustavo | 69 |
| 11 | RAMOS Kléber | 65 |
| 12 | AFFONSO Murilo | 63 |
| 13 | CALDEIRA Samuel José | 76 |
| 22 | DOS SANTOS Nilceu Aparecido | 70 |
| 24 | FERNÁNDEZ Delio | 69 |
| 26 | SEABRA Renato | 67 |