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 = 0.8 * weight - 16
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 10 | LJUNGBLAD Jonas | 70 |
| 18 | LE MÉVEL Christophe | 61 |
| 20 | SULZBERGER Bernard | 67 |
| 30 | MARÍN Ruber Alveiro | 55 |
| 44 | LIESE Thomas | 75 |
| 46 | DOWNING Russell | 64 |
| 50 | WOHLBERG Eric | 63 |
| 53 | POILVET Benoît | 71 |
| 54 | CUMMINGS Steve | 73 |