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 + 13
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | SCHULZE André | 70 |
2 | KUMP Marko | 68 |
3 | SAPA Marcin | 82 |
4 | HUZARSKI Bartosz | 69 |
5 | JANISZEWSKI Sylwester | 65 |
6 | PALINI Andrea | 67 |
7 | MATZKA Ralf | 69 |
8 | TRUSOV Nikolay | 77 |
9 | HONKISZ Adrian | 61 |