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 = 0.4 * weight - 23
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Saramotins
1
75 kgSmukulis
2
72 kgBelohvoščiks
6
70 kgFlaksis
7
79 kgSkujiņš
8
70 kgBēcis
12
82 kg
1
75 kgSmukulis
2
72 kgBelohvoščiks
6
70 kgFlaksis
7
79 kgSkujiņš
8
70 kgBēcis
12
82 kg
Weight (KG) →
Result →
82
70
1
12
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SARAMOTINS Aleksejs | 75 |
| 2 | SMUKULIS Gatis | 72 |
| 6 | BELOHVOŠČIKS Raivis | 70 |
| 7 | FLAKSIS Andžs | 79 |
| 8 | SKUJIŅŠ Toms | 70 |
| 12 | BĒCIS Armands | 82 |