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 = 1.6 * weight - 96
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
Rasmussen
2
58 kgRogina
6
70 kgKvasina
8
72 kgMahorič
15
68 kgSteig
50
72 kg
2
58 kgRogina
6
70 kgKvasina
8
72 kgMahorič
15
68 kgSteig
50
72 kg
Weight (KG) →
Result →
72
58
2
50
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | RASMUSSEN Michael | 58 |
| 6 | ROGINA Radoslav | 70 |
| 8 | KVASINA Matija | 72 |
| 15 | MAHORIČ Mitja | 68 |
| 50 | STEIG Csaba | 72 |