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 = 0.4 * weight - 24
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Likhachov
1
73 kgSzozda
2
68 kgMoravec
3
74 kgVasile
5
66 kgMatoušek
9
82 kgPikkuus
11
76 kg
1
73 kgSzozda
2
68 kgMoravec
3
74 kgVasile
5
66 kgMatoušek
9
82 kgPikkuus
11
76 kg
Weight (KG) →
Result →
82
66
1
11
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LIKHACHOV Valery | 73 |
| 2 | SZOZDA Stanisław | 68 |
| 3 | MORAVEC Vlastimil | 74 |
| 5 | VASILE Teodor | 66 |
| 9 | MATOUŠEK Petr | 82 |
| 11 | PIKKUUS Aavo | 76 |