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 = -0.6 * weight + 49
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
van Heeswijk
4
73 kgSweet
5
69 kgAndersen
7
71 kgVierhouten
8
71 kgMagnusson
10
70 kg
4
73 kgSweet
5
69 kgAndersen
7
71 kgVierhouten
8
71 kgMagnusson
10
70 kg
Weight (KG) →
Result →
73
69
4
10
# | Rider | Weight (KG) |
---|---|---|
4 | VAN HEESWIJK Max | 73 |
5 | SWEET Jay | 69 |
7 | ANDERSEN Christian | 71 |
8 | VIERHOUTEN Aart | 71 |
10 | MAGNUSSON Glenn | 70 |