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 * weight + 1
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Moser
1
79 kgSaronni
2
65 kgSchuiten
3
83 kgKnudsen
4
79 kgDe Vlaeminck
5
74 kg
1
79 kgSaronni
2
65 kgSchuiten
3
83 kgKnudsen
4
79 kgDe Vlaeminck
5
74 kg
Weight (KG) →
Result →
83
65
1
5
# | Rider | Weight (KG) |
---|---|---|
1 | MOSER Francesco | 79 |
2 | SARONNI Giuseppe | 65 |
3 | SCHUITEN Roy | 83 |
4 | KNUDSEN Knut | 79 |
5 | DE VLAEMINCK Roger | 74 |