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 = -1.2 * weight + 95
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
Martin
1
75 kgGrabsch
2
78 kgSchumacher
4
71 kgGretsch
8
69 kgGaebel
16
68 kgHoops
19
72 kg
1
75 kgGrabsch
2
78 kgSchumacher
4
71 kgGretsch
8
69 kgGaebel
16
68 kgHoops
19
72 kg
Weight (KG) →
Result →
78
68
1
19
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARTIN Tony | 75 |
| 2 | GRABSCH Bert | 78 |
| 4 | SCHUMACHER Stefan | 71 |
| 8 | GRETSCH Patrick | 69 |
| 16 | GAEBEL Stefan | 68 |
| 19 | HOOPS Gregor | 72 |