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 = 0.6 * weight - 17
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LJUNGBLAD Jonas | 70 |
| 4 | DOWNING Russell | 64 |
| 19 | MARÍN Ruber Alveiro | 55 |
| 27 | WOHLBERG Eric | 63 |
| 28 | LIESE Thomas | 75 |
| 33 | LE MÉVEL Christophe | 61 |
| 34 | SULZBERGER Bernard | 67 |
| 40 | CUMMINGS Steve | 73 |
| 47 | POILVET Benoît | 71 |