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 + 23
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Groen
3
70.5 kgSamli
6
75 kgSayar
7
64 kgAkdilek
8
68 kgHristov
9
57 kgMirza
10
60 kgSloof
11
70 kgBalkan
12
64 kg
3
70.5 kgSamli
6
75 kgSayar
7
64 kgAkdilek
8
68 kgHristov
9
57 kgMirza
10
60 kgSloof
11
70 kgBalkan
12
64 kg
Weight (KG) →
Result →
75
57
3
12
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | GROEN Ike | 70.5 |
| 6 | SAMLI Feritcan | 75 |
| 7 | SAYAR Mustafa | 64 |
| 8 | AKDILEK Ahmet | 68 |
| 9 | HRISTOV Stefan Koychev | 57 |
| 10 | MIRZA Yousif | 60 |
| 11 | SLOOF Jordi | 70 |
| 12 | BALKAN Serkan | 64 |