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 = -3.7 * weight + 330
This means that on average for every extra kilogram weight a rider loses -3.7 positions in the result.
Vansummeren
14
79 kgVeuchelen
37
75 kgGilbert
43
75 kgDe Fauw
45
77 kgHabeaux
50
68 kgKeisse
100
72 kgHovelijnck
105
75 kg
14
79 kgVeuchelen
37
75 kgGilbert
43
75 kgDe Fauw
45
77 kgHabeaux
50
68 kgKeisse
100
72 kgHovelijnck
105
75 kg
Weight (KG) →
Result →
79
68
14
105
# | Rider | Weight (KG) |
---|---|---|
14 | VANSUMMEREN Johan | 79 |
37 | VEUCHELEN Frederik | 75 |
43 | GILBERT Philippe | 75 |
45 | DE FAUW Dimitri | 77 |
50 | HABEAUX Grégory | 68 |
100 | KEISSE Iljo | 72 |
105 | HOVELIJNCK Kurt | 75 |