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 - 21
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Bronzini
1
54 kgCooke
2
58 kgArndt
4
59 kgCorneo
6
54 kgBaccaille
8
61 kg
1
54 kgCooke
2
58 kgArndt
4
59 kgCorneo
6
54 kgBaccaille
8
61 kg
Weight (KG) →
Result →
61
54
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BRONZINI Giorgia | 54 |
| 2 | COOKE Nicole | 58 |
| 4 | ARNDT Judith | 59 |
| 6 | CORNEO Sigrid | 54 |
| 8 | BACCAILLE Monia | 61 |