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 = 1.2 * weight - 7
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 14 | HOLLER Nikodemus | 58 |
| 18 | AFFONSO Murilo | 63 |
| 27 | RODAS Manuel | 68 |
| 40 | DIAZ Daniel | 61 |
| 43 | NAZARET Magno | 65 |
| 56 | SEABRA Renato | 67 |
| 60 | BULGARELLI Otavio | 69 |
| 67 | FIORILLI Tiago | 63 |
| 69 | NICÁCIO Pedro | 72 |
| 86 | PANIZO Gregolry | 72 |
| 97 | BUCHMANN Emanuel | 59 |
| 104 | RAMOS Kléber | 65 |
| 105 | ALMONACID Patricio | 60 |
| 114 | CARRETERO Ramón | 62 |
| 127 | SCHNAIDT Fabian | 70 |