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 + 55
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | ZARGARI Amir | 62 |
3 | CHAN Chun Hing | 70 |
4 | ASKARI Hossein | 73 |
13 | WIJAYA Endra | 58 |
18 | TASHIRO Yasutaka | 54 |
21 | MIZBANI Ghader | 67 |
23 | KAZEMI Sarai Ahad | 71 |
47 | TANG Wang Yip | 62 |
54 | PRIYA PRASETYA Heksa | 62 |
56 | ABE Yoshiyuki | 67 |