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 + 65
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
2 | BOMMEL Henning | 75 |
6 | KLUGE Roger | 83 |
7 | KIENDYŚ Tomasz | 78 |
10 | KOMAR Mateusz | 73 |
11 | LISOWICZ Tomasz | 85 |
12 | OJAVEE Mart | 80 |
16 | CHMIELEWSKI Piotr | 72 |
18 | ANDRLE René | 70 |
20 | ZARGARI Amir | 62 |
32 | SAEIDI TANHA Abbas | 70 |
38 | REIMER Martin | 69 |
52 | SOHRABI Mehdi | 69 |
53 | HAGHI Alireza | 78 |
64 | PAWLAK Wojciech | 73 |
73 | SAPA Marcin | 82 |
85 | BENČÍK Petr | 73 |