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 + 45
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | POGAČAR Tadej | 66 |
2 | MEZGEC Luka | 72 |
3 | MOHORIČ Matej | 71 |
4 | GOVEKAR Matevž | 73 |
5 | JARC Aljaž | 75 |
6 | HORVAT Žiga | 70 |
7 | NOVAK Domen | 70 |
8 | PRIMOŽIČ Jaka | 60 |
9 | FINKŠT Tilen | 70 |
10 | SKOK Anže | 73 |
12 | PAVLIČ Marko | 65 |
13 | KOREN Kristijan | 72 |
16 | HOČEVAR Kristjan | 57 |
20 | TURK Aljaž | 63 |