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 = 2.6 * weight - 142
This means that on average for every extra kilogram weight a rider loses 2.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN LOOY Rik | 73 |
| 6 | SIMPSON Tom | 69 |
| 13 | JANSSENS Marcel | 68 |
| 27 | BEHEYT Benoni | 71 |
| 50 | LELANGUE Robert | 72 |
| 51 | BALMAMION Franco | 67 |
| 55 | IMPANIS Raymond | 69 |
| 59 | POST Peter | 79 |
| 69 | BAILETTI Antonio | 70 |
| 72 | CERAMI Pino | 72 |
| 77 | VANDEN BERGHEN Willy | 76 |