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 = 0.2 * weight - 11
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Starkov
1
73 kgSzurkowski
2
77 kgVasile
5
66 kgCzechowski
6
75 kgNelyubin
7
71 kgHolík
10
83 kg
1
73 kgSzurkowski
2
77 kgVasile
5
66 kgCzechowski
6
75 kgNelyubin
7
71 kgHolík
10
83 kg
Weight (KG) →
Result →
83
66
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STARKOV Anatoliy | 73 |
| 2 | SZURKOWSKI Ryszard | 77 |
| 5 | VASILE Teodor | 66 |
| 6 | CZECHOWSKI Zenon | 75 |
| 7 | NELYUBIN Vladislav | 71 |
| 10 | HOLÍK Alois | 83 |