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 - 9
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
3 | MCCANN David | 73 |
10 | WU Kin San | 68 |
15 | LOUDER Jeff | 73 |
16 | LAPTHORNE Darren | 70 |
18 | TASHIRO Yasutaka | 54 |
23 | MIURA Kyoshi | 67 |
26 | TANG Wang Yip | 62 |
31 | TYBOR Patrik | 72 |
39 | CHAN Chun Hing | 70 |
41 | BRONIŠ Roman | 74 |
43 | KRUPA Dawid | 74 |