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 + 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Bogdanovičs
3
68 kgFlaksis
6
79 kgSergis
7
75 kgDankbārs
8
69 kgLiepiņš
9
67 kgAnsons
10
77 kg
3
68 kgFlaksis
6
79 kgSergis
7
75 kgDankbārs
8
69 kgLiepiņš
9
67 kgAnsons
10
77 kg
Weight (KG) →
Result →
79
67
3
10
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | BOGDANOVIČS Māris | 68 |
| 6 | FLAKSIS Andžs | 79 |
| 7 | SERGIS Kaspars | 75 |
| 8 | DANKBĀRS Oskars | 69 |
| 9 | LIEPIŅŠ Emīls | 67 |
| 10 | ANSONS Kristers | 77 |