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 = -0.1 * weight + 11
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TUREK Daniel | 72 |
| 2 | CARAPAZ Richard | 62 |
| 3 | BIZKARRA Mikel | 53 |
| 4 | VLASOV Aleksandr | 68 |
| 5 | MANCEBO Francisco | 64 |
| 6 | NEILANDS Krists | 69 |
| 7 | PEDRERO Antonio | 60 |
| 8 | BRAVO Garikoitz | 61 |
| 9 | NICOLAU Joel | 66 |
| 10 | RODRIGUES David Miguel Costa | 60 |
| 11 | SOTO Antonio Jesús | 66 |
| 12 | CARRETERO Héctor | 67 |
| 13 | ROJAS José Joaquín | 70 |
| 14 | REYES Aldemar | 55 |