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 + 10
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Bronzini
1
54 kgBecker
2
64 kgOlds
3
54 kgZabelinskaya
4
52 kgCecchini
6
52 kgGuarischi
8
57 kgGarfoot
10
56 kg
1
54 kgBecker
2
64 kgOlds
3
54 kgZabelinskaya
4
52 kgCecchini
6
52 kgGuarischi
8
57 kgGarfoot
10
56 kg
Weight (KG) →
Result →
64
52
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BRONZINI Giorgia | 54 |
| 2 | BECKER Charlotte | 64 |
| 3 | OLDS Shelley | 54 |
| 4 | ZABELINSKAYA Olga | 52 |
| 6 | CECCHINI Elena | 52 |
| 8 | GUARISCHI Barbara | 57 |
| 10 | GARFOOT Katrin | 56 |