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 - 3
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Petrov
1
63 kgGyurov
3
75 kgGerganov
5
60 kgCholakov
10
66 kgAndreev
14
63 kgRadoslavov
15
73 kgSuchev
16
68 kg
1
63 kgGyurov
3
75 kgGerganov
5
60 kgCholakov
10
66 kgAndreev
14
63 kgRadoslavov
15
73 kgSuchev
16
68 kg
Weight (KG) →
Result →
75
60
1
16
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PETROV Danail Andonov | 63 |
| 3 | GYUROV Spas | 75 |
| 5 | GERGANOV Evgeni | 60 |
| 10 | CHOLAKOV Stanimir | 66 |
| 14 | ANDREEV Yordan | 63 |
| 15 | RADOSLAVOV Kiril | 73 |
| 16 | SUCHEV Mario | 68 |