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 + 19
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Edwards
2
80 kgPriem
5
75 kgBourreau
7
63 kgSchür
8
74 kgden Hertog
10
76 kg
2
80 kgPriem
5
75 kgBourreau
7
63 kgSchür
8
74 kgden Hertog
10
76 kg
Weight (KG) →
Result →
80
63
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | EDWARDS Phil | 80 |
| 5 | PRIEM Cees | 75 |
| 7 | BOURREAU Bernard | 63 |
| 8 | SCHÜR Fritz | 74 |
| 10 | DEN HERTOG Fedor | 76 |