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 - 36
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Schür
1
74 kgSzozda
2
68 kgGorelov
4
70 kgLauke
5
73 kgHartnick
7
76 kgNowicki
10
74 kg
1
74 kgSzozda
2
68 kgGorelov
4
70 kgLauke
5
73 kgHartnick
7
76 kgNowicki
10
74 kg
Weight (KG) →
Result →
76
68
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCHÜR Fritz | 74 |
| 2 | SZOZDA Stanisław | 68 |
| 4 | GORELOV Nikolay | 70 |
| 5 | LAUKE Gerhard | 73 |
| 7 | HARTNICK Hans-Joachim | 76 |
| 10 | NOWICKI Mieczysław | 74 |