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 = -1.5 * weight + 104
This means that on average for every extra kilogram weight a rider loses -1.5 positions in the result.
Sierra
1
57 kgCampbell
2
63 kgGonzalez
9
61 kgParra
13
58 kgGonzález
27
60 kgColes-Lyster
28
61 kgFernández
32
53 kg
1
57 kgCampbell
2
63 kgGonzalez
9
61 kgParra
13
58 kgGonzález
27
60 kgColes-Lyster
28
61 kgFernández
32
53 kg
Weight (KG) →
Result →
63
53
1
32
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SIERRA Arlenis | 57 |
| 2 | CAMPBELL Teniel | 63 |
| 9 | GONZALEZ Yumari | 61 |
| 13 | PARRA Jessica Marcela | 58 |
| 27 | GONZÁLEZ Angie Sabrina | 60 |
| 28 | COLES-LYSTER Maggie | 61 |
| 32 | FERNÁNDEZ Luddy Alheli | 53 |