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 = 1.5 * weight - 100
This means that on average for every extra kilogram weight a rider loses 1.5 positions in the result.
Kuiper
1
69 kgZoetemelk
3
68 kgPriem
11
75 kgKarstens
16
74 kgSchuiten
24
83 kg
1
69 kgZoetemelk
3
68 kgPriem
11
75 kgKarstens
16
74 kgSchuiten
24
83 kg
Weight (KG) →
Result →
83
68
1
24
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KUIPER Hennie | 69 |
| 3 | ZOETEMELK Joop | 68 |
| 11 | PRIEM Cees | 75 |
| 16 | KARSTENS Gerben | 74 |
| 24 | SCHUITEN Roy | 83 |