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 + 23
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MIZBANI Ghader | 67 |
| 3 | WHITEHOUSE Daniel | 58 |
| 6 | FELIPE Marcelo | 58 |
| 7 | SAFARZADEH Saeid | 66 |
| 8 | CARSTENSEN Lucas | 69 |
| 11 | GALEDO Mark John Lexer | 58 |
| 12 | NOVARDIANTO Jamalidin | 69 |
| 13 | CAHYADI Aiman | 52 |
| 16 | NIETO Edgar | 58 |