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 = 0.9 * weight - 22
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WILLEIT Cherise | 54 |
| 5 | MENG Lang | 65 |
| 9 | LIU Xin | 52 |
| 10 | JASINSKA Małgorzata | 57 |
| 12 | NONTASIN Chanpeng | 58 |
| 34 | LUO Xiao Ling | 68 |
| 43 | DE GROOT Robyn | 56 |
| 48 | MIN Gao | 56 |
| 49 | STANDER Marissa | 57 |
| 66 | PRYDE Susy | 57 |
| 67 | ELLIS Lauren | 64 |