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 = -0.5 * weight + 42
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | BARONCHELLI Gianbattista | 72 |
2 | POLLENTIER Michel | 62 |
4 | JOHANSSON Bernt | 71 |
5 | GIMONDI Felice | 78 |
7 | MOSER Francesco | 79 |
8 | LASA Miguel María | 68 |
10 | AJA Gonzalo | 66 |
11 | VANDI Alfio | 64 |
15 | RICCOMI Walter | 66 |
25 | VIEJO José Luis | 64 |