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 = 1.2 * weight - 73
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
Winnen
2
60 kgHartnick
5
76 kgChaplygin
12
80 kgMadiot
14
68 kgHogervorst
36
82 kgSzuromi
37
85 kg
2
60 kgHartnick
5
76 kgChaplygin
12
80 kgMadiot
14
68 kgHogervorst
36
82 kgSzuromi
37
85 kg
Weight (KG) →
Result →
85
60
2
37
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | WINNEN Peter | 60 |
| 5 | HARTNICK Hans-Joachim | 76 |
| 12 | CHAPLYGIN Valery | 80 |
| 14 | MADIOT Marc | 68 |
| 36 | HOGERVORST Theo | 82 |
| 37 | SZUROMI György | 85 |