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 + 28
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Hannus
2
76 kgStarkov
3
73 kgHolík
4
83 kgGera
6
76 kgMoravec
8
74 kgSzurkowski
9
77 kgVasile
10
66 kg
2
76 kgStarkov
3
73 kgHolík
4
83 kgGera
6
76 kgMoravec
8
74 kgSzurkowski
9
77 kgVasile
10
66 kg
Weight (KG) →
Result →
83
66
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | HANNUS Harry | 76 |
| 3 | STARKOV Anatoliy | 73 |
| 4 | HOLÍK Alois | 83 |
| 6 | GERA Imre | 76 |
| 8 | MORAVEC Vlastimil | 74 |
| 9 | SZURKOWSKI Ryszard | 77 |
| 10 | VASILE Teodor | 66 |