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 = -0.1 * weight + 18
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | TOUZÉ Damien | 69 |
2 | NORSGAARD Mathias | 88 |
3 | BARTA Will | 61 |
6 | BOUHANNI Rayane | 70 |
8 | CAÑAVERAL Johnatan | 60 |
12 | CÔTÉ Pier-André | 74 |
14 | COSTA Adrien | 61 |
18 | GERVAIS Laurent | 72 |
19 | KOYAMA Takahiro | 58 |
21 | LARSEN Niklas | 74 |
22 | GRANIGAN Noah | 76 |
27 | GREGAARD Jonas | 66 |
32 | GEE Derek | 72 |