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 = -0.5 * weight + 45
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Coles-Lyster
4
61 kgFranz
7
52 kgClevenger
14
57 kgStephens
19
55 kgPayer
24
52 kgBreck
25
59 kgPoidevin
26
56 kg
4
61 kgFranz
7
52 kgClevenger
14
57 kgStephens
19
55 kgPayer
24
52 kgBreck
25
59 kgPoidevin
26
56 kg
Weight (KG) →
Result →
61
52
4
26
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | COLES-LYSTER Maggie | 61 |
| 7 | FRANZ Heidi | 52 |
| 14 | CLEVENGER Erica | 57 |
| 19 | STEPHENS Lauren | 55 |
| 24 | PAYER Kira | 52 |
| 25 | BRECK Holly | 59 |
| 26 | POIDEVIN Sara | 56 |