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 = 1.2 * weight - 58
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NEGRENTE Mattia | 65 |
| 2 | NISBET Cormac | 60 |
| 5 | NOVÁK Samuel | 63 |
| 9 | OMRZEL Jakob | 62 |
| 10 | GRUSZCZYNSKI Filip | 60 |
| 19 | SAMBINELLO Mattia | 66 |
| 21 | MELLANO Ludovico Maria | 65 |
| 23 | ATTOLINI Luca | 63 |
| 24 | PIDHAINYI Andrii | 58 |
| 29 | GOTTSTEIN Simon | 68 |
| 33 | CONSOLIDANI Leonardo | 59 |
| 41 | SIERRA Juan David | 70 |