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 = -0.4 * weight + 41
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZABRISKIE David | 67 |
| 2 | ZIRBEL Tom | 91 |
| 3 | BUSCHE Matthew | 69 |
| 4 | BOOKWALTER Brent | 70 |
| 5 | KING Ben | 68 |
| 6 | PATE Danny | 73 |
| 7 | PHINNEY Taylor | 82 |
| 8 | MCCARTNEY Jason | 70 |
| 11 | HEGYVARY Adrian | 78 |
| 16 | VAN GARDEREN Tejay | 72 |
| 20 | BROWN Nathan | 65 |
| 25 | GAIMON Phillip | 67 |
| 28 | SUMMERHILL Daniel | 70 |