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 + 29
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WILLIAMS Lily | 66 |
| 2 | SIERRA Arlenis | 57 |
| 3 | PEÑUELA Diana | 53 |
| 5 | JACKSON Alison | 63 |
| 7 | BERTIZZOLO Sofia | 54 |
| 9 | DUEHRING Jasmin | 54 |
| 10 | VALENTE Jennifer | 73 |
| 11 | THOMAS Leah | 58 |
| 15 | TEDDERGREEN Starla | 51 |
| 22 | RODRIGUEZ Carolina | 58 |
| 25 | GOLDMAN Lindsay | 64 |
| 27 | FRANZ Heidi | 52 |
| 45 | GANZAR Leigh Ann | 59 |
| 47 | BAKER Georgia | 66 |
| 53 | NEWSOM Emily | 59 |
| 63 | FERNANDES Clemilda | 54 |