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 + 25
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Edwards
2
59 kgFidanza
3
60 kgLach
4
59 kgGuarischi
5
57 kgConfalonieri
8
56 kgColes-Lyster
12
61 kgBrand
13
57 kg
2
59 kgFidanza
3
60 kgLach
4
59 kgGuarischi
5
57 kgConfalonieri
8
56 kgColes-Lyster
12
61 kgBrand
13
57 kg
Weight (KG) →
Result →
61
56
2
13
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | EDWARDS Ruth | 59 |
| 3 | FIDANZA Martina | 60 |
| 4 | LACH Marta | 59 |
| 5 | GUARISCHI Barbara | 57 |
| 8 | CONFALONIERI Maria Giulia | 56 |
| 12 | COLES-LYSTER Maggie | 61 |
| 13 | BRAND Lucinda | 57 |