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 = -0.8 * weight + 83
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
Rogina
3
70 kgRasmussen
4
58 kgKvasina
6
72 kgMahorič
18
68 kgSteig
57
72 kgStrgar
88
62 kg
3
70 kgRasmussen
4
58 kgKvasina
6
72 kgMahorič
18
68 kgSteig
57
72 kgStrgar
88
62 kg
Weight (KG) →
Result →
72
58
3
88
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | ROGINA Radoslav | 70 |
| 4 | RASMUSSEN Michael | 58 |
| 6 | KVASINA Matija | 72 |
| 18 | MAHORIČ Mitja | 68 |
| 57 | STEIG Csaba | 72 |
| 88 | STRGAR Matic | 62 |