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 + 94
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
4 | ABE Yoshiyuki | 67 |
10 | PARK Sung Baek | 73 |
33 | LLOYD Daniel | 70 |
37 | DOCKER Mitchell | 73 |
44 | LAPTHORNE Darren | 70 |
60 | MCCANN David | 73 |
66 | SUZUKI Shinri | 60 |
67 | TASHIRO Yasutaka | 54 |
77 | DEMPSTER Zak | 77 |