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 = 0.1 * weight + 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
van Bon
1
72 kgBrochard
2
68 kgVoskamp
6
75 kgGroenendaal
8
66 kgArmstrong
12
72 kg
1
72 kgBrochard
2
68 kgVoskamp
6
75 kgGroenendaal
8
66 kgArmstrong
12
72 kg
Weight (KG) →
Result →
75
66
1
12
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN BON Léon | 72 |
| 2 | BROCHARD Laurent | 68 |
| 6 | VOSKAMP Bart | 75 |
| 8 | GROENENDAAL Richard | 66 |
| 12 | ARMSTRONG Lance | 72 |