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.
Rumšas
1
64 kgRodriguez
2
68 kgHondo
3
73 kgMickiewicz
5
74 kgPoitschke
7
73 kg
1
64 kgRodriguez
2
68 kgHondo
3
73 kgMickiewicz
5
74 kgPoitschke
7
73 kg
Weight (KG) →
Result →
74
64
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RUMŠAS Raimondas | 64 |
| 2 | RODRIGUEZ Fred | 68 |
| 3 | HONDO Danilo | 73 |
| 5 | MICKIEWICZ Jacek | 74 |
| 7 | POITSCHKE Enrico | 73 |