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 = 0.2 * weight - 3
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
de Rooij
3
69 kgRoche
5
74 kgRichard
7
67 kgSkibby
9
70 kgKuiper
11
69 kgJärmann
12
73 kg
3
69 kgRoche
5
74 kgRichard
7
67 kgSkibby
9
70 kgKuiper
11
69 kgJärmann
12
73 kg
Weight (KG) →
Result →
74
67
3
12
# | Rider | Weight (KG) |
---|---|---|
3 | DE ROOIJ Theo | 69 |
5 | ROCHE Stephen | 74 |
7 | RICHARD Pascal | 67 |
9 | SKIBBY Jesper | 70 |
11 | KUIPER Hennie | 69 |
12 | JÄRMANN Rolf | 73 |