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 + 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Mizurov
1
68 kgDyachenko
2
65 kgFominykh
3
70 kgFedosseyev
8
61.5 kgGruzdev
10
78 kgZemlyakov
11
70 kgLuchshenko
12
63 kg
1
68 kgDyachenko
2
65 kgFominykh
3
70 kgFedosseyev
8
61.5 kgGruzdev
10
78 kgZemlyakov
11
70 kgLuchshenko
12
63 kg
Weight (KG) →
Result →
78
61.5
1
12
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MIZUROV Andrey | 68 |
| 2 | DYACHENKO Alexandr | 65 |
| 3 | FOMINYKH Daniil | 70 |
| 8 | FEDOSSEYEV Artur | 61.5 |
| 10 | GRUZDEV Dmitriy | 78 |
| 11 | ZEMLYAKOV Oleg | 70 |
| 12 | LUCHSHENKO Sergey | 63 |