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.
Godefroot
2
73 kgDe Vlaeminck
6
74 kgBracke
9
79 kgZoetemelk
10
68 kgPriem
21
75 kgSchuiten
28
83 kgKuiper
30
69 kg
2
73 kgDe Vlaeminck
6
74 kgBracke
9
79 kgZoetemelk
10
68 kgPriem
21
75 kgSchuiten
28
83 kgKuiper
30
69 kg
Weight (KG) →
Result →
83
68
2
30
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GODEFROOT Walter | 73 |
| 6 | DE VLAEMINCK Roger | 74 |
| 9 | BRACKE Ferdinand | 79 |
| 10 | ZOETEMELK Joop | 68 |
| 21 | PRIEM Cees | 75 |
| 28 | SCHUITEN Roy | 83 |
| 30 | KUIPER Hennie | 69 |