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 = -0.6 * weight + 47
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Valter
1
65 kgDina
2
67 kgPeák
3
74 kgFetter
7
70 kgLepold
14
62 kgSzarka
15
67 kg
1
65 kgDina
2
67 kgPeák
3
74 kgFetter
7
70 kgLepold
14
62 kgSzarka
15
67 kg
Weight (KG) →
Result →
74
62
1
15
# | Rider | Weight (KG) |
---|---|---|
1 | VALTER Attila | 65 |
2 | DINA Márton | 67 |
3 | PEÁK Barnabás | 74 |
7 | FETTER Erik | 70 |
14 | LEPOLD Zoltán Antal | 62 |
15 | SZARKA Gergely | 67 |