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 + 33
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Averin
1
69 kgPikkuus
2
76 kgOsokin
5
73 kgSchmeisser
6
69 kgVasile
8
66 kg
1
69 kgPikkuus
2
76 kgOsokin
5
73 kgSchmeisser
6
69 kgVasile
8
66 kg
Weight (KG) →
Result →
76
66
1
8
# | Rider | Weight (KG) |
---|---|---|
1 | AVERIN Alexandre | 69 |
2 | PIKKUUS Aavo | 76 |
5 | OSOKIN Vladimir | 73 |
6 | SCHMEISSER Siegbert | 69 |
8 | VASILE Teodor | 66 |