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 = -1.9 * weight + 166
This means that on average for every extra kilogram weight a rider loses -1.9 positions in the result.
Rogina
10
70 kgSteig
26
72 kgKvasina
33
72 kgStrgar
38
62 kgRasmussen
58
58 kgMahorič
75
68 kg
10
70 kgSteig
26
72 kgKvasina
33
72 kgStrgar
38
62 kgRasmussen
58
58 kgMahorič
75
68 kg
Weight (KG) →
Result →
72
58
10
75
| # | Rider | Weight (KG) |
|---|---|---|
| 10 | ROGINA Radoslav | 70 |
| 26 | STEIG Csaba | 72 |
| 33 | KVASINA Matija | 72 |
| 38 | STRGAR Matic | 62 |
| 58 | RASMUSSEN Michael | 58 |
| 75 | MAHORIČ Mitja | 68 |