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 - 4
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Smukulis
1
72 kgSkujiņš
3
70 kgNeilands
5
69 kgBogdanovičs
6
68 kgLiepiņš
8
67 kgSergis
10
75 kg
1
72 kgSkujiņš
3
70 kgNeilands
5
69 kgBogdanovičs
6
68 kgLiepiņš
8
67 kgSergis
10
75 kg
Weight (KG) →
Result →
75
67
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SMUKULIS Gatis | 72 |
| 3 | SKUJIŅŠ Toms | 70 |
| 5 | NEILANDS Krists | 69 |
| 6 | BOGDANOVIČS Māris | 68 |
| 8 | LIEPIŅŠ Emīls | 67 |
| 10 | SERGIS Kaspars | 75 |