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 = 1.6 * weight - 86
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
Vžesniauskaitė
3
57 kgMelchers
5
59 kgCantele
6
58 kgLjungskog
7
57 kgCarrigan
9
60 kgArndt
13
59 kg
3
57 kgMelchers
5
59 kgCantele
6
58 kgLjungskog
7
57 kgCarrigan
9
60 kgArndt
13
59 kg
Weight (KG) →
Result →
60
57
3
13
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | VŽESNIAUSKAITĖ Modesta | 57 |
| 5 | MELCHERS Mirjam | 59 |
| 6 | CANTELE Noemi | 58 |
| 7 | LJUNGSKOG Susanne | 57 |
| 9 | CARRIGAN Sara | 60 |
| 13 | ARNDT Judith | 59 |