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 + 96
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | THOMAS Leah | 58 |
| 4 | DOEBEL-HICKOK Krista | 51 |
| 5 | WHITTEN Tara | 67 |
| 6 | JACKSON Alison | 63 |
| 8 | POIDEVIN Sara | 56 |
| 9 | ARMSTRONG Kristin | 58 |
| 12 | BERGEN Sara | 64 |
| 13 | SMALL Carmen | 55 |
| 15 | LUEBKE Jennifer | 54 |
| 16 | KILBURG Mia | 64 |
| 35 | RAMSDEN Denise | 62 |
| 43 | ROORDA Stephanie | 70 |
| 49 | TEDDERGREEN Starla | 51 |
| 51 | CLEVENGER Erica | 57 |
| 53 | WONG Melanie | 51 |
| 55 | MILLER Amanda | 52 |
| 71 | BLAIS Marie-Soleil | 53 |