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 = -0.2 * weight + 32
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
2 | WINN Julian | 70 |
5 | FUKUSHIMA Shinichi | 62 |
6 | MCCANN David | 73 |
8 | BRAMMEIER Matt | 72 |
16 | CHAN Chun Hing | 70 |
23 | LLOYD Daniel | 70 |
24 | REID Robin | 62 |
28 | IRVINE Martyn | 80 |
35 | MIYAZAWA Takashi | 61 |