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 + 12
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Skujiņš
1
70 kgSaramotins
2
75 kgFlaksis
3
79 kgNeilands
4
69 kgLiepiņš
5
67 kgBogdanovičs
8
68 kgSergis
9
75 kg
1
70 kgSaramotins
2
75 kgFlaksis
3
79 kgNeilands
4
69 kgLiepiņš
5
67 kgBogdanovičs
8
68 kgSergis
9
75 kg
Weight (KG) →
Result →
79
67
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SKUJIŅŠ Toms | 70 |
| 2 | SARAMOTINS Aleksejs | 75 |
| 3 | FLAKSIS Andžs | 79 |
| 4 | NEILANDS Krists | 69 |
| 5 | LIEPIŅŠ Emīls | 67 |
| 8 | BOGDANOVIČS Māris | 68 |
| 9 | SERGIS Kaspars | 75 |