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 = -0.1 * weight + 15
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Bohli
1
71 kgSpengler
2
78 kgKüng
3
83 kgBaillifard
5
54 kgStüssi
7
68 kgFrankiny
8
67 kgForster
9
68 kg
1
71 kgSpengler
2
78 kgKüng
3
83 kgBaillifard
5
54 kgStüssi
7
68 kgFrankiny
8
67 kgForster
9
68 kg
Weight (KG) →
Result →
83
54
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOHLI Tom | 71 |
| 2 | SPENGLER Lukas | 78 |
| 3 | KÜNG Stefan | 83 |
| 5 | BAILLIFARD Valentin | 54 |
| 7 | STÜSSI Colin | 68 |
| 8 | FRANKINY Kilian | 67 |
| 9 | FORSTER Lars | 68 |