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 = 0.5 * weight - 20
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Bayton
2
61 kgVan Looy
9
75 kgDierickx
11
74 kgDe Brauwere
18
63 kgKarstens
26
74 kg
2
61 kgVan Looy
9
75 kgDierickx
11
74 kgDe Brauwere
18
63 kgKarstens
26
74 kg
Weight (KG) →
Result →
75
61
2
26
# | Rider | Weight (KG) |
---|---|---|
2 | BAYTON Phil | 61 |
9 | VAN LOOY Frans | 75 |
11 | DIERICKX André | 74 |
18 | DE BRAUWERE Lucien | 63 |
26 | KARSTENS Gerben | 74 |