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 = -0.2 * weight + 21
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BÄCKSTEDT Magnus | 94 |
| 2 | ANDERSSON Michael | 71 |
| 3 | HUSHOVD Thor | 83 |
| 4 | RITTSEL Martin | 70 |
| 5 | LJUNGQVIST Marcus | 73 |
| 6 | KNAVEN Servais | 68 |
| 7 | KARLSSON Jan | 75 |
| 8 | MAGNUSSON Glenn | 70 |
| 9 | GRABSCH Bert | 78 |
| 10 | DE JONGH Steven | 76 |
| 11 | POLLACK Olaf | 77 |
| 13 | HOLM SØRENSEN Brian | 77 |
| 14 | HONDO Danilo | 73 |
| 15 | PETACCHI Alessandro | 70 |
| 17 | MÜLLER Martin | 79 |