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 + 4
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Tatarinov
1
67 kgButs
5
68 kgVasylyuk
10
65 kgKrivtsov
11
72 kgSapa
12
82 kgZemlyakov
14
70 kgArslanov
16
63 kg
1
67 kgButs
5
68 kgVasylyuk
10
65 kgKrivtsov
11
72 kgSapa
12
82 kgZemlyakov
14
70 kgArslanov
16
63 kg
Weight (KG) →
Result →
82
63
1
16
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TATARINOV Gennadiy | 67 |
| 5 | BUTS Vitaliy | 68 |
| 10 | VASYLYUK Andriy | 65 |
| 11 | KRIVTSOV Dmytro | 72 |
| 12 | SAPA Marcin | 82 |
| 14 | ZEMLYAKOV Oleg | 70 |
| 16 | ARSLANOV Ildar | 63 |