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 - 4
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PFANNBERGER Christian | 63 |
| 4 | ROHREGGER Thomas | 63 |
| 5 | EIBEGGER Markus | 68 |
| 6 | PICHLER Michael | 70 |
| 7 | TRAMPUSCH Gerhard | 60 |
| 9 | SCHOFFMANN Martin | 67 |
| 11 | WEISS Michael | 80 |
| 15 | PÖLL Stefan | 60 |
| 21 | BRÄNDLE Matthias | 80 |
| 31 | KRIZEK Matthias | 74 |
| 33 | SCHORN Daniel | 72 |
| 34 | HRINKOW Dominik | 61 |
| 37 | BENETSEDER Josef | 65 |