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 + 62
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOOM Lars | 75 |
| 2 | BAK Lars Ytting | 76 |
| 3 | KRAGH ANDERSEN Asbjørn | 72 |
| 4 | PEDERSEN Mads | 76 |
| 5 | MARCATO Marco | 67 |
| 6 | LIGTHART Pim | 72 |
| 7 | PEDERSEN Casper | 71 |
| 8 | JUUL-JENSEN Christopher | 73 |
| 9 | RUFFONI Nicola | 70 |
| 10 | KREDER Raymond | 70 |
| 11 | BAUHAUS Phil | 75 |
| 12 | VALGREN Michael | 71 |
| 13 | VANENDERT Dennis | 64 |
| 14 | DE KETELE Kenny | 66 |
| 15 | TLEUBAYEV Ruslan | 70 |