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 = -1.2 * weight + 85
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
2 | MCMULLEN Rylee | 61 |
3 | POWLESS Shayna | 59 |
4 | STEPHENS Lauren | 55 |
6 | PEÑUELA Diana | 53 |
7 | COLES-LYSTER Maggie | 61 |
8 | CLEVENGER Erica | 57 |
9 | FRANZ Heidi | 52 |
12 | MAGNER Alexis | 57 |
16 | NEWSOM Emily | 59 |
23 | POIDEVIN Sara | 56 |
33 | WONG Melanie | 51 |
37 | THORVILSON Leah | 60 |
39 | PAYER Kira | 52 |