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 = -1.9 * weight + 184
This means that on average for every extra kilogram weight a rider loses -1.9 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | JURČO Matej | 69 |
2 | SELIG Rüdiger | 80 |
6 | KIENDYŚ Tomasz | 78 |
11 | LISOWICZ Tomasz | 85 |
18 | WITECKI Mariusz | 70 |
24 | BODNAR Łukasz | 68 |
32 | SAPA Marcin | 82 |
51 | ROMANIK Radosław | 62 |
56 | TACIAK Mateusz | 68 |
64 | NAGY Robert | 52 |
65 | TYBOR Patrik | 72 |
76 | MAHĎAR Martin | 61 |
80 | JANISZEWSKI Sylwester | 65 |
87 | KOMAR Mateusz | 73 |
93 | PSZCZOLARSKI Wojciech | 73 |
94 | JANIACZYK Błażej | 68 |
95 | SCHULZE André | 70 |