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 - 8
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | JANSSEN Jan | 76 |
| 4 | BRACKE Ferdinand | 79 |
| 8 | DUEZ Henri | 64 |
| 12 | ANQUETIL Jacques | 70 |
| 13 | SWERTS Roger | 75 |
| 20 | SIMPSON Tom | 69 |
| 28 | GODEFROOT Walter | 73 |
| 42 | BEHEYT Benoni | 71 |
| 48 | RÉAUX Raymond | 69 |
| 50 | HUGENS Jan | 83 |