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 = -1.1 * weight + 137
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
14 | GIL MARTINEZ Tomas Aurelio | 60 |
16 | SEABRA Renato | 67 |
18 | BORRAJO Alejandro Alberto | 76 |
28 | PANIZO Gregolry | 72 |
63 | YATES Jeremy | 73 |
64 | NAZARET Magno | 65 |
79 | THURAU Björn | 73 |
91 | SEPULVEDA Luis Fernando | 66 |
92 | MÉDICI Matías | 70 |
124 | AFFONSO Murilo | 63 |