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 = 0.3 * weight - 12
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CORT Magnus | 68 |
| 2 | MESA Santiago | 68 |
| 3 | LONARDI Giovanni | 70 |
| 4 | CAVIA Daniel | 62 |
| 5 | WARLOP Jordi | 71 |
| 6 | PEÑUELA Francisco Joel | 56 |
| 8 | CANAL Carlos | 70 |
| 10 | OKAMIKA Ander | 70 |
| 12 | MATIAS João | 72 |
| 15 | FAGÚNDEZ Eric Antonio | 67 |
| 16 | SAINBAYAR Jambaljamts | 60 |
| 17 | MOREIRA Mauricio | 76 |
| 19 | NYCH Artem | 74 |