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 - 27
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Hauptman
1
70 kgStrauss
2
69 kgValach
4
75 kgBelohvoščiks
5
70 kgRiška
6
73 kg
1
70 kgStrauss
2
69 kgValach
4
75 kgBelohvoščiks
5
70 kgRiška
6
73 kg
Weight (KG) →
Result →
75
69
1
6
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HAUPTMAN Andrej | 70 |
| 2 | STRAUSS Marcel | 69 |
| 4 | VALACH Ján | 75 |
| 5 | BELOHVOŠČIKS Raivis | 70 |
| 6 | RIŠKA Martin | 73 |