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 = 1.1 * weight - 63
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
Rooijakkers
4
68 kgSieberg
7
80 kgDekkers
13
72 kgStroetinga
15
69 kgHoogerland
16
65 kgVeelers
36
75 kgEichler
46
78 kg
4
68 kgSieberg
7
80 kgDekkers
13
72 kgStroetinga
15
69 kgHoogerland
16
65 kgVeelers
36
75 kgEichler
46
78 kg
Weight (KG) →
Result →
80
65
4
46
# | Rider | Weight (KG) |
---|---|---|
4 | ROOIJAKKERS Piet | 68 |
7 | SIEBERG Marcel | 80 |
13 | DEKKERS Hans | 72 |
15 | STROETINGA Wim | 69 |
16 | HOOGERLAND Johnny | 65 |
36 | VEELERS Tom | 75 |
46 | EICHLER Markus | 78 |