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 + 8
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Skujiņš
1
70 kgFlaksis
2
79 kgBogdanovičs
3
68 kgLiepiņš
5
67 kgNeilands
6
69 kgAnsons
9
77 kgDankbārs
11
69 kg
1
70 kgFlaksis
2
79 kgBogdanovičs
3
68 kgLiepiņš
5
67 kgNeilands
6
69 kgAnsons
9
77 kgDankbārs
11
69 kg
Weight (KG) →
Result →
79
67
1
11
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SKUJIŅŠ Toms | 70 |
| 2 | FLAKSIS Andžs | 79 |
| 3 | BOGDANOVIČS Māris | 68 |
| 5 | LIEPIŅŠ Emīls | 67 |
| 6 | NEILANDS Krists | 69 |
| 9 | ANSONS Kristers | 77 |
| 11 | DANKBĀRS Oskars | 69 |