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 = -0.6 * weight + 50
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GILMORE Rochelle | 56 |
| 2 | DEIGNAN Elizabeth | 57 |
| 3 | HOSKING Chloe | 60 |
| 4 | KIESANOWSKI Joanne | 56 |
| 5 | COOKE Nicole | 58 |
| 6 | NUMAINVILLE Joëlle | 65 |
| 7 | WHITTEN Tara | 67 |
| 10 | WILLEIT Cherise | 54 |
| 14 | MARTIN Lucy | 57 |
| 22 | KIRCHMANN Leah | 59 |
| 25 | CHEATLEY Catherine | 64 |
| 26 | VILLUMSEN Linda | 59 |
| 28 | LAWS Sharon | 54 |
| 29 | DE GROOT Robyn | 56 |
| 36 | BEVERIDGE Julie | 55 |