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 - 17
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MÜLLER Christian | 69 |
| 2 | MARTENS Paul | 69 |
| 3 | GERDEMANN Linus | 71 |
| 4 | RUSS Matthias | 62 |
| 5 | GREIPEL André | 80 |
| 6 | HAUSSLER Heinrich | 74 |
| 7 | GOTTFRIED Alexander | 60 |
| 8 | BURGHARDT Marcus | 75 |
| 10 | SCHILLINGER Andreas | 72 |
| 11 | MARTIN Tony | 75 |
| 14 | FRÖHLINGER Johannes | 62 |
| 25 | SIEBERG Marcel | 80 |
| 26 | FOTHEN Thomas | 71 |
| 29 | WESTPHAL Carlo | 75 |
| 34 | MUSIOL Daniel | 70 |