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 = 0.1 * weight + 5
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SIERRA Arlenis | 57 |
| 3 | VAN DER BREGGEN Anna | 56 |
| 4 | BRONZINI Giorgia | 54 |
| 5 | GUARNIER Megan | 54 |
| 6 | HALL Katie | 52 |
| 7 | DOEBEL-HICKOK Krista | 51 |
| 8 | EDWARDS Ruth | 59 |
| 9 | WILD Kirsten | 75 |
| 11 | PIETERS Amy | 58 |
| 13 | STEPHENS Lauren | 55 |
| 14 | GUARISCHI Barbara | 57 |
| 15 | BARNES Hannah | 52 |
| 20 | AMIALIUSIK Alena | 53 |
| 22 | DREXEL Ingrid | 62 |
| 24 | ROWE Danielle | 65 |
| 25 | PARKINSON Abby-Mae | 51 |