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 + 50
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Likhachov
1
73 kgSzurkowski
2
77 kgGorelov
6
70 kgSzozda
7
68 kgAllan
8
73 kgNelyubin
9
71 kg
1
73 kgSzurkowski
2
77 kgGorelov
6
70 kgSzozda
7
68 kgAllan
8
73 kgNelyubin
9
71 kg
Weight (KG) →
Result →
77
68
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LIKHACHOV Valery | 73 |
| 2 | SZURKOWSKI Ryszard | 77 |
| 6 | GORELOV Nikolay | 70 |
| 7 | SZOZDA Stanisław | 68 |
| 8 | ALLAN Donald | 73 |
| 9 | NELYUBIN Vladislav | 71 |