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 - 12
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
5 | ZHAPARULY Bauyrzhan | 59 |
7 | MOVCHAN Andrii | 65 |
12 | BULUT Samet | 64 |
21 | STRELNIKOV Yegor | 70 |
26 | KOST Vitalii | 64 |
29 | OZKALBIM Kaan | 63 |
30 | DOSTIYEV Ilkhan | 57 |
34 | LOHINSKÝ Filip | 71 |
39 | ÇELIK Ali | 73 |
40 | NURIYEV Nofal | 67 |
41 | TOSUN Cagin | 62 |
43 | TUKA Samuel | 57 |
50 | MARAL Ahmet | 68 |
51 | UZUN Emir | 67 |