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 = 0.3 * weight - 14
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Adler
1
62 kgMelikhov
2
76 kgSchur
3
73 kgFornalczyk
4
77 kgPodobas
7
70 kgLevačić
10
77 kg
1
62 kgMelikhov
2
76 kgSchur
3
73 kgFornalczyk
4
77 kgPodobas
7
70 kgLevačić
10
77 kg
Weight (KG) →
Result →
77
62
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ADLER Egon | 62 |
| 2 | MELIKHOV Yury | 76 |
| 3 | SCHUR Gustav-Adolf | 73 |
| 4 | FORNALCZYK Bogusław | 77 |
| 7 | PODOBAS Wiesław | 70 |
| 10 | LEVAČIĆ Ivan | 77 |