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 = 9.1 * weight - 536
This means that on average for every extra kilogram weight a rider loses 9.1 positions in the result.
Hartnick
1
76 kgSzozda
3
68 kgPikkuus
4
76 kgVasile
6
66 kgKühn
7
64 kgMoravec
8
74 kgMatoušek
10
82 kgMytnik
990
75 kg
1
76 kgSzozda
3
68 kgPikkuus
4
76 kgVasile
6
66 kgKühn
7
64 kgMoravec
8
74 kgMatoušek
10
82 kgMytnik
990
75 kg
Weight (KG) →
Result →
82
64
1
990
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HARTNICK Hans-Joachim | 76 |
| 3 | SZOZDA Stanisław | 68 |
| 4 | PIKKUUS Aavo | 76 |
| 6 | VASILE Teodor | 66 |
| 7 | KÜHN Wolfram | 64 |
| 8 | MORAVEC Vlastimil | 74 |
| 10 | MATOUŠEK Petr | 82 |
| 990 | MYTNIK Tadeusz | 75 |