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 - 6
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Priem
2
75 kgSchmid
5
64 kgOngarato
9
73 kgBourreau
10
63 kgHubschmid
11
74 kgEdwards
14
80 kg
2
75 kgSchmid
5
64 kgOngarato
9
73 kgBourreau
10
63 kgHubschmid
11
74 kgEdwards
14
80 kg
Weight (KG) →
Result →
80
63
2
14
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PRIEM Cees | 75 |
| 5 | SCHMID Iwan | 64 |
| 9 | ONGARATO Franco | 73 |
| 10 | BOURREAU Bernard | 63 |
| 11 | HUBSCHMID Bruno | 74 |
| 14 | EDWARDS Phil | 80 |