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 = -0.2 * weight + 20
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EINHORN Itamar | 72 |
| 2 | SAGIV Guy | 68 |
| 3 | GOLDSTEIN Omer | 61 |
| 4 | NIV Guy | 58 |
| 5 | TENE Rotem | 72 |
| 6 | GOLDSTEIN Edo | 61 |
| 7 | RAISBERG Nadav | 67 |
| 8 | LAHAV Omer | 59 |
| 10 | LOGINOV Vladislav | 66 |
| 11 | BEN MOSHE Yuval | 61 |