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 = -0.9 * weight + 76
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
2 | PATE Danny | 73 |
3 | HEGREBERG Morten | 72 |
4 | O'LOUGHLIN David | 68 |
9 | MATYSIAK Bartłomiej | 71 |
10 | POWER Ciarán | 68 |
12 | FRIEDMAN Michael | 82 |
14 | NEWTON Christopher | 69 |
28 | EUSER Lucas | 56 |
35 | OLIPHANT Evan | 66 |