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 + 18
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Poidevin
1
56 kgValente
2
73 kgFranz
4
52 kgClevenger
6
57 kgPowless
8
59 kgSwan
9
63 kgAnderson
15
54 kg
1
56 kgValente
2
73 kgFranz
4
52 kgClevenger
6
57 kgPowless
8
59 kgSwan
9
63 kgAnderson
15
54 kg
Weight (KG) →
Result →
73
52
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | POIDEVIN Sara | 56 |
| 2 | VALENTE Jennifer | 73 |
| 4 | FRANZ Heidi | 52 |
| 6 | CLEVENGER Erica | 57 |
| 8 | POWLESS Shayna | 59 |
| 9 | SWAN Callie | 63 |
| 15 | ANDERSON Grace | 54 |