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 = -2.1 * weight + 172
This means that on average for every extra kilogram weight a rider loses -2.1 positions in the result.
Rogina
12
70 kgKvasina
16
72 kgStrgar
18
62 kgSteig
37
72 kgMahorič
49
68 kgRasmussen
67
58 kg
12
70 kgKvasina
16
72 kgStrgar
18
62 kgSteig
37
72 kgMahorič
49
68 kgRasmussen
67
58 kg
Weight (KG) →
Result →
72
58
12
67
| # | Rider | Weight (KG) |
|---|---|---|
| 12 | ROGINA Radoslav | 70 |
| 16 | KVASINA Matija | 72 |
| 18 | STRGAR Matic | 62 |
| 37 | STEIG Csaba | 72 |
| 49 | MAHORIČ Mitja | 68 |
| 67 | RASMUSSEN Michael | 58 |