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 - 17
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Balkan
1
69 kgKüçükbay
2
70 kgMarczyński
4
70 kgHristov
7
57 kgBalkan
10
64 kgKasa
12
72 kgGulcan
15
68 kgSamli
21
75 kg
1
69 kgKüçükbay
2
70 kgMarczyński
4
70 kgHristov
7
57 kgBalkan
10
64 kgKasa
12
72 kgGulcan
15
68 kgSamli
21
75 kg
Weight (KG) →
Result →
75
57
1
21
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BALKAN Onur | 69 |
| 2 | KÜÇÜKBAY Kemal | 70 |
| 4 | MARCZYŃSKI Tomasz | 70 |
| 7 | HRISTOV Stefan Koychev | 57 |
| 10 | BALKAN Serkan | 64 |
| 12 | KASA Gabor | 72 |
| 15 | GULCAN Ali | 68 |
| 21 | SAMLI Feritcan | 75 |