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 = 2.2 * weight - 119
This means that on average for every extra kilogram weight a rider loses 2.2 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
10 | MOMEÑE José Antonio | 61 |
17 | OLIZARENKO Anatoly | 72 |
19 | KAPITONOV Viktor | 73 |
32 | SAIDKHUZHIN Gainan | 69 |
49 | MELIKHOV Yury | 76 |
50 | VAN KREUNINGEN Lex | 82 |
59 | HEINEMANN Hans | 72 |
61 | GEORGIEV DEMIREV Stoyan | 72 |
64 | ČUBRIĆ Radoš | 80 |