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 = 3.6 * weight - 230
This means that on average for every extra kilogram weight a rider loses 3.6 positions in the result.
Šumpík
1
63 kgPešek
4
67 kgPatras
6
69 kgZahálka
25
69 kgPřenosil
45
76 kg
1
63 kgPešek
4
67 kgPatras
6
69 kgZahálka
25
69 kgPřenosil
45
76 kg
Weight (KG) →
Result →
76
63
1
45
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ŠUMPÍK Pavel | 63 |
| 4 | PEŠEK Adam | 67 |
| 6 | PATRAS Jakub | 69 |
| 25 | ZAHÁLKA Štěpán | 69 |
| 45 | PŘENOSIL Marek | 76 |