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 + 18
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Martin
1
75 kgGretsch
2
69 kgSchumacher
3
71 kgNerz
5
67 kgArndt
6
77.5 kgGrabsch
9
78 kgReimer
12
69 kgGaebel
13
68 kg
1
75 kgGretsch
2
69 kgSchumacher
3
71 kgNerz
5
67 kgArndt
6
77.5 kgGrabsch
9
78 kgReimer
12
69 kgGaebel
13
68 kg
Weight (KG) →
Result →
78
67
1
13
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARTIN Tony | 75 |
| 2 | GRETSCH Patrick | 69 |
| 3 | SCHUMACHER Stefan | 71 |
| 5 | NERZ Dominik | 67 |
| 6 | ARNDT Nikias | 77.5 |
| 9 | GRABSCH Bert | 78 |
| 12 | REIMER Martin | 69 |
| 13 | GAEBEL Stefan | 68 |