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 - 27
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Wadecki
1
70 kgNiermann
6
64 kgZamana
7
74 kgWhite
9
72 kgGlasner
18
72 kg
1
70 kgNiermann
6
64 kgZamana
7
74 kgWhite
9
72 kgGlasner
18
72 kg
Weight (KG) →
Result →
74
64
1
18
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WADECKI Piotr | 70 |
| 6 | NIERMANN Grischa | 64 |
| 7 | ZAMANA Cezary | 74 |
| 9 | WHITE Matthew | 72 |
| 18 | GLASNER Björn | 72 |