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 + 20
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Marie
2
68 kgHodge
6
74 kgKelly
7
77 kgRominger
10
65 kgWechselberger
11
71 kgBreukink
17
70 kg
2
68 kgHodge
6
74 kgKelly
7
77 kgRominger
10
65 kgWechselberger
11
71 kgBreukink
17
70 kg
Weight (KG) →
Result →
77
65
2
17
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MARIE Thierry | 68 |
| 6 | HODGE Stephen | 74 |
| 7 | KELLY Sean | 77 |
| 10 | ROMINGER Tony | 65 |
| 11 | WECHSELBERGER Helmut | 71 |
| 17 | BREUKINK Erik | 70 |