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 = -0.3 * weight + 31
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Øxenberg
6
69 kgZapata
8
62 kgGusner
9
62 kgZahálka
10
69 kgGualdi
11
61 kgNovák
15
63 kg
6
69 kgZapata
8
62 kgGusner
9
62 kgZahálka
10
69 kgGualdi
11
61 kgNovák
15
63 kg
Weight (KG) →
Result →
69
61
6
15
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | ØXENBERG Peter | 69 |
| 8 | ZAPATA Mauricio | 62 |
| 9 | GUSNER Matthias | 62 |
| 10 | ZAHÁLKA Štěpán | 69 |
| 11 | GUALDI Simone | 61 |
| 15 | NOVÁK Samuel | 63 |