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 - 28
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Skujiņš
1
70 kgSmukulis
2
72 kgSaramotins
3
75 kgNeilands
4
69 kgFlaksis
5
79 kgAnsons
9
77 kg
1
70 kgSmukulis
2
72 kgSaramotins
3
75 kgNeilands
4
69 kgFlaksis
5
79 kgAnsons
9
77 kg
Weight (KG) →
Result →
79
69
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SKUJIŅŠ Toms | 70 |
| 2 | SMUKULIS Gatis | 72 |
| 3 | SARAMOTINS Aleksejs | 75 |
| 4 | NEILANDS Krists | 69 |
| 5 | FLAKSIS Andžs | 79 |
| 9 | ANSONS Kristers | 77 |