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 = 0.4 * weight - 12
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Caethoven
1
67 kgDekkers
10
72 kgBarbé
11
75 kgStubbe
13
66 kgvan Hummel
17
64 kgLisabeth
22
75 kg
1
67 kgDekkers
10
72 kgBarbé
11
75 kgStubbe
13
66 kgvan Hummel
17
64 kgLisabeth
22
75 kg
Weight (KG) →
Result →
75
64
1
22
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CAETHOVEN Steven | 67 |
| 10 | DEKKERS Hans | 72 |
| 11 | BARBÉ Koen | 75 |
| 13 | STUBBE Tom | 66 |
| 17 | VAN HUMMEL Kenny | 64 |
| 22 | LISABETH Kenny | 75 |