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 = -1.5 * weight + 104
This means that on average for every extra kilogram weight a rider loses -1.5 positions in the result.
Zemlyakov
1
70 kgShushemoin
4
62 kgSchlemmer
5
64 kgAndreev
7
63 kgFurlanski
14
63 kgHorvath
20
60 kg
1
70 kgShushemoin
4
62 kgSchlemmer
5
64 kgAndreev
7
63 kgFurlanski
14
63 kgHorvath
20
60 kg
Weight (KG) →
Result →
70
60
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZEMLYAKOV Oleg | 70 |
| 4 | SHUSHEMOIN Alexandr | 62 |
| 5 | SCHLEMMER Lukas | 64 |
| 7 | ANDREEV Yordan | 63 |
| 14 | FURLANSKI Velizar | 63 |
| 20 | HORVATH Roland | 60 |