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 + 58
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | DOCKER Mitchell | 73 |
2 | SPRICK Matthieu | 71 |
3 | YATES Jeremy | 73 |
4 | DEMPSTER Zak | 77 |
5 | WILSON Matthew | 72 |
7 | SULZBERGER Bernard | 67 |
8 | IVANOV Ruslan | 71 |
9 | PARK Sung Baek | 73 |
10 | CÉSAR VELOSO Gustavo | 69 |
11 | MARINO Jean-Marc | 65 |
13 | FUKUSHIMA Shinichi | 62 |
14 | MCLEOD Ian | 66 |
15 | RODRÍGUEZ Jackson | 58 |