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 - 6
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROSSNER Petra | 64 |
| 2 | GILMORE Rochelle | 56 |
| 3 | WOOD Oenone | 56 |
| 15 | MELCHERS Mirjam | 59 |
| 19 | KIESANOWSKI Joanne | 56 |
| 23 | REEKIE-MAY Roz | 53 |
| 25 | STIAJKINA Tatiana | 51 |
| 27 | BATES Katherine | 69 |
| 30 | CARRIGAN Sara | 60 |
| 31 | MARSAL Catherine | 53 |
| 34 | ULMER Sarah | 64 |
| 36 | KASHCHYSHYNA Oksana | 53 |
| 45 | ARMSTRONG Kristin | 58 |
| 54 | ARNDT Judith | 59 |
| 71 | LINDBERG Madeleine | 63 |