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 * weight + 23
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WOOD Oenone | 56 |
| 2 | BATES Katherine | 69 |
| 3 | GILMORE Rochelle | 56 |
| 5 | ULMER Sarah | 64 |
| 8 | REEKIE-MAY Roz | 53 |
| 14 | ARMSTRONG Kristin | 58 |
| 15 | CARRIGAN Sara | 60 |
| 18 | ARNDT Judith | 59 |
| 23 | MARSAL Catherine | 53 |
| 25 | STIAJKINA Tatiana | 51 |
| 27 | KIESANOWSKI Joanne | 56 |
| 30 | MELCHERS Mirjam | 59 |
| 34 | LINDBERG Madeleine | 63 |
| 54 | KASHCHYSHYNA Oksana | 53 |
| 74 | ROSSNER Petra | 64 |