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 * weight + 5
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Vasilyev
1
70 kgTatarinov
2
67 kgRubio
3
81 kgReguigui
4
69 kgSchnaidt
8
70 kg
1
70 kgTatarinov
2
67 kgRubio
3
81 kgReguigui
4
69 kgSchnaidt
8
70 kg
Weight (KG) →
Result →
81
67
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VASILYEV Maksym | 70 |
| 2 | TATARINOV Gennadiy | 67 |
| 3 | RUBIO Diego | 81 |
| 4 | REGUIGUI Youcef | 69 |
| 8 | SCHNAIDT Fabian | 70 |