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 = -2.2 * weight + 188
This means that on average for every extra kilogram weight a rider loses -2.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | CHEVALLIER Philippe | 69 |
| 11 | ELLIOTT Malcolm | 76 |
| 17 | GAVAZZI Pierino | 67 |
| 21 | DUCLOS-LASSALLE Gilbert | 73 |
| 22 | HODGE Stephen | 74 |
| 23 | PEETERS Wilfried | 76 |
| 24 | KELLY Sean | 77 |
| 41 | STEPHENS Neil | 65 |
| 44 | LLOYD Dave | 76 |
| 73 | BAYTON Phil | 61 |
| 74 | HAYTON Dudley | 69 |