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 + 93
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 |
5 | RAMOS Kléber | 65 |
16 | GARRIDO José Antonio | 68 |
24 | GRIZANTE André Luiz | 79 |
25 | PIRES Bruno | 63 |
29 | NAZARET Magno | 65 |
30 | CASTANHEIRA Bruno Miguel | 70 |
43 | BERNABÉU David | 66 |
49 | EBSEN John | 58 |
55 | PANIZO Gregolry | 72 |
61 | SEPULVEDA Luis Fernando | 66 |
63 | MÉDICI Matías | 70 |
68 | BULGARELLI Otavio | 69 |
75 | FIORILLI Tiago | 63 |
82 | NICÁCIO Pedro | 72 |
84 | ALMONACID Patricio | 60 |