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 + 49
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Rich
1
82 kgLiese
2
75 kgLang
3
77 kgAldag
7
75 kgScholz
11
60 kgHiekmann
12
70 kgSchröder
14
64 kg
1
82 kgLiese
2
75 kgLang
3
77 kgAldag
7
75 kgScholz
11
60 kgHiekmann
12
70 kgSchröder
14
64 kg
Weight (KG) →
Result →
82
60
1
14
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RICH Michael | 82 |
| 2 | LIESE Thomas | 75 |
| 3 | LANG Sebastian | 77 |
| 7 | ALDAG Rolf | 75 |
| 11 | SCHOLZ Ronny | 60 |
| 12 | HIEKMANN Torsten | 70 |
| 14 | SCHRÖDER Björn | 64 |