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 = 0.7 * weight - 3
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
4 | MANSILLA Luis Miguel | 68 |
16 | GARRIDO José Antonio | 68 |
22 | CASTANHEIRA Bruno Miguel | 70 |
23 | NAZARET Magno | 65 |
24 | BULGARELLI Otavio | 69 |
28 | PIRES Bruno | 63 |
30 | PANIZO Gregolry | 72 |
35 | BERNABÉU David | 66 |
37 | EBSEN John | 58 |
39 | MÉDICI Matías | 70 |
45 | SEPULVEDA Luis Fernando | 66 |
67 | ALMONACID Patricio | 60 |
70 | NICÁCIO Pedro | 72 |
76 | RAMOS Kléber | 65 |
88 | FIORILLI Tiago | 63 |
96 | GRIZANTE André Luiz | 79 |