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 = 0.4 * weight - 16
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Garfoot
1
56 kgZabelinskaya
3
52 kgBronzini
5
54 kgCecchini
6
52 kgHoskins
7
64 kgSaarelainen
8
58 kgFrapporti
10
63 kg
1
56 kgZabelinskaya
3
52 kgBronzini
5
54 kgCecchini
6
52 kgHoskins
7
64 kgSaarelainen
8
58 kgFrapporti
10
63 kg
Weight (KG) →
Result →
64
52
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GARFOOT Katrin | 56 |
| 3 | ZABELINSKAYA Olga | 52 |
| 5 | BRONZINI Giorgia | 54 |
| 6 | CECCHINI Elena | 52 |
| 7 | HOSKINS Melissa | 64 |
| 8 | SAARELAINEN Sari | 58 |
| 10 | FRAPPORTI Simona | 63 |