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 = 0.6 * weight - 43
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Allan
1
73 kgLikhachov
2
73 kgSzurkowski
3
77 kgMatoušek
5
82 kgMartinov
10
79 kg
1
73 kgLikhachov
2
73 kgSzurkowski
3
77 kgMatoušek
5
82 kgMartinov
10
79 kg
Weight (KG) →
Result →
82
73
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ALLAN Donald | 73 |
| 2 | LIKHACHOV Valery | 73 |
| 3 | SZURKOWSKI Ryszard | 77 |
| 5 | MATOUŠEK Petr | 82 |
| 10 | MARTINOV Martin | 79 |