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 = -0.3 * weight + 25
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | SAGAN Peter | 78 |
2 | VAN AVERMAET Greg | 74 |
3 | REIJNEN Kiel | 63 |
5 | LEWIS Craig | 65 |
6 | GALLOPIN Tony | 69 |
7 | VAN GARDEREN Tejay | 72 |
8 | CARUSO Damiano | 67 |
9 | SUTHERLAND Rory | 75 |
10 | EUSER Lucas | 56 |
11 | DANIELSON Tom | 58.5 |