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 = 0.3 * weight - 12
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Hristov
1
57 kgZemlyakov
4
70 kgTopchanyuk
6
65 kgGerganov
9
60 kgMorajko
10
65 kgButs
14
68 kgLuchshenko
15
63 kg
1
57 kgZemlyakov
4
70 kgTopchanyuk
6
65 kgGerganov
9
60 kgMorajko
10
65 kgButs
14
68 kgLuchshenko
15
63 kg
Weight (KG) →
Result →
70
57
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HRISTOV Stefan Koychev | 57 |
| 4 | ZEMLYAKOV Oleg | 70 |
| 6 | TOPCHANYUK Artem | 65 |
| 9 | GERGANOV Evgeni | 60 |
| 10 | MORAJKO Jacek | 65 |
| 14 | BUTS Vitaliy | 68 |
| 15 | LUCHSHENKO Sergey | 63 |