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 = 20.4 * weight - 930
This means that on average for every extra kilogram weight a rider loses 20.4 positions in the result.
Szurkowski
1
77 kgHassink
2
71 kgSolleveld
990
93 kgHogervorst
990
82 kgSchür
990
74 kgvan der Poel
990
70 kg
1
77 kgHassink
2
71 kgSolleveld
990
93 kgHogervorst
990
82 kgSchür
990
74 kgvan der Poel
990
70 kg
Weight (KG) →
Result →
93
70
1
990
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SZURKOWSKI Ryszard | 77 |
| 2 | HASSINK Arie | 71 |
| 990 | SOLLEVELD Gerrit | 93 |
| 990 | HOGERVORST Theo | 82 |
| 990 | SCHÜR Fritz | 74 |
| 990 | VAN DER POEL Adrie | 70 |