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 = -0.2 * weight + 22
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Neilands
1
69 kgSaramotins
2
75 kgFlaksis
3
79 kgBogdanovičs
6
68 kgSmukulis
7
72 kgSkujiņš
8
70 kg
1
69 kgSaramotins
2
75 kgFlaksis
3
79 kgBogdanovičs
6
68 kgSmukulis
7
72 kgSkujiņš
8
70 kg
Weight (KG) →
Result →
79
68
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NEILANDS Krists | 69 |
| 2 | SARAMOTINS Aleksejs | 75 |
| 3 | FLAKSIS Andžs | 79 |
| 6 | BOGDANOVIČS Māris | 68 |
| 7 | SMUKULIS Gatis | 72 |
| 8 | SKUJIŅŠ Toms | 70 |