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 = 30.9 * weight - 1620
This means that on average for every extra kilogram weight a rider loses 30.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PANTANI Marco | 58 |
| 2 | JULICH Bobby | 68 |
| 3 | RICHARD Pascal | 67 |
| 4 | DUFAUX Laurent | 60 |
| 5 | MEIER Roland | 60 |
| 6 | LIVINGSTON Kevin | 70 |
| 7 | AEBERSOLD Niki | 58 |
| 8 | EVANS Cadel | 64 |
| 9 | FONTANELLI Fabiano | 68 |
| 10 | ZBERG Beat | 72 |
| 990 | ATIENZA Daniel | 60 |
| 990 | ZÜLLE Alex | 72 |
| 990 | ZBERG Markus | 69 |
| 990 | GOTTI Ivan | 65 |
| 990 | MEIER Armin | 69 |
| 990 | HUSER Rolf | 65 |
| 990 | JÄRMANN Rolf | 73 |