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 = -1.3 * weight + 83
This means that on average for every extra kilogram weight a rider loses -1.3 positions in the result.
Fidanza
1
60 kgGuarischi
2
57 kgEdwards
4
59 kgColes-Lyster
7
61 kgLach
8
59 kgConfalonieri
12
56 kgBrand
14
57 kg
1
60 kgGuarischi
2
57 kgEdwards
4
59 kgColes-Lyster
7
61 kgLach
8
59 kgConfalonieri
12
56 kgBrand
14
57 kg
Weight (KG) →
Result →
61
56
1
14
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FIDANZA Martina | 60 |
| 2 | GUARISCHI Barbara | 57 |
| 4 | EDWARDS Ruth | 59 |
| 7 | COLES-LYSTER Maggie | 61 |
| 8 | LACH Marta | 59 |
| 12 | CONFALONIERI Maria Giulia | 56 |
| 14 | BRAND Lucinda | 57 |