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 = 0.8 * weight - 35
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Totschnig
1
62 kgLuttenberger
2
60 kgGraf
16
72 kgBenetseder
22
65 kgEibegger
23
68 kgKopeinig
45
63 kg
1
62 kgLuttenberger
2
60 kgGraf
16
72 kgBenetseder
22
65 kgEibegger
23
68 kgKopeinig
45
63 kg
Weight (KG) →
Result →
72
60
1
45
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TOTSCHNIG Georg | 62 |
| 2 | LUTTENBERGER Peter | 60 |
| 16 | GRAF Andreas | 72 |
| 22 | BENETSEDER Josef | 65 |
| 23 | EIBEGGER Markus | 68 |
| 45 | KOPEINIG René | 63 |