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 = -0.1 * weight + 13
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Bajc
1
65 kgAkdilek
2
68 kgBileka
3
65 kgKüçükbay
4
70 kgKasa
7
72 kgHristov
8
57 kg
1
65 kgAkdilek
2
68 kgBileka
3
65 kgKüçükbay
4
70 kgKasa
7
72 kgHristov
8
57 kg
Weight (KG) →
Result →
72
57
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BAJC Andi | 65 |
| 2 | AKDILEK Ahmet | 68 |
| 3 | BILEKA Volodymyr | 65 |
| 4 | KÜÇÜKBAY Kemal | 70 |
| 7 | KASA Gabor | 72 |
| 8 | HRISTOV Stefan Koychev | 57 |