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 = 0.2 * weight - 10
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Stosz
1
70 kgBouwman
2
60 kgRekita
6
70 kgSchulze
7
64 kgMühlberger
8
64 kgTurek
9
72 kgNeilands
10
69 kg
1
70 kgBouwman
2
60 kgRekita
6
70 kgSchulze
7
64 kgMühlberger
8
64 kgTurek
9
72 kgNeilands
10
69 kg
Weight (KG) →
Result →
72
60
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STOSZ Patryk | 70 |
| 2 | BOUWMAN Koen | 60 |
| 6 | REKITA Szymon | 70 |
| 7 | SCHULZE Julian | 64 |
| 8 | MÜHLBERGER Gregor | 64 |
| 9 | TUREK Daniel | 72 |
| 10 | NEILANDS Krists | 69 |