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 + 3
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
2 | BOMMEL Henning | 75 |
7 | KOMAR Mateusz | 73 |
8 | KIENDYŚ Tomasz | 78 |
14 | SAPA Marcin | 82 |
15 | ZARGARI Amir | 62 |
18 | KLUGE Roger | 83 |
19 | PAWLAK Wojciech | 73 |
20 | LISOWICZ Tomasz | 85 |
21 | REIMER Martin | 69 |
26 | OJAVEE Mart | 80 |