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 | MOLANO Juan Sebastián | 72 |
| 2 | GARCÍA CORTINA Iván | 77 |
| 3 | AFFINI Edoardo | 80 |
| 4 | KORETZKY Victor | 69 |
| 5 | LEITÃO Iúri | 65 |
| 6 | VENDRAME Andrea | 60 |
| 7 | BRAMBILLA Gianluca | 57 |
| 8 | PEÑALVER Manuel | 67 |
| 9 | QUINN Sean | 67 |
| 10 | VLASOV Aleksandr | 68 |
| 11 | MAS Lluís | 69 |
| 12 | ZAMBANINI Edoardo | 62 |
| 13 | PRADES Eduard | 63 |
| 15 | CANAL Carlos | 70 |