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 = -0.4 * weight + 30
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Stosz
2
70 kgWachter
4
72 kgNatarov
5
68 kgSchönberger
6
64 kgPaluta
7
65 kgKnox
8
58 kg
2
70 kgWachter
4
72 kgNatarov
5
68 kgSchönberger
6
64 kgPaluta
7
65 kgKnox
8
58 kg
Weight (KG) →
Result →
72
58
2
8
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | STOSZ Patryk | 70 |
| 4 | WACHTER Alexander | 72 |
| 5 | NATAROV Yuriy | 68 |
| 6 | SCHÖNBERGER Sebastian | 64 |
| 7 | PALUTA Michał | 65 |
| 8 | KNOX James | 58 |