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 = 0.4 * weight - 26
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Velo
1
70 kgNardello
2
74 kgden Bakker
3
71 kgJeker
4
72 kgIvanov
5
73 kg
1
70 kgNardello
2
74 kgden Bakker
3
71 kgJeker
4
72 kgIvanov
5
73 kg
Weight (KG) →
Result →
74
70
1
5
# | Rider | Weight (KG) |
---|---|---|
1 | VELO Marco | 70 |
2 | NARDELLO Daniele | 74 |
3 | DEN BAKKER Maarten | 71 |
4 | JEKER Fabian | 72 |
5 | IVANOV Sergei | 73 |