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 = 1 * weight - 48
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KELLY Sean | 77 |
| 2 | VAN DER POEL Adrie | 70 |
| 9 | WELTZ Johnny | 65 |
| 10 | ROCHE Stephen | 74 |
| 11 | VAN VLIET Leo | 65 |
| 19 | KUIPER Hennie | 69 |
| 20 | NICKSON Bill | 76 |
| 26 | HOLM SØRENSEN Brian | 77 |
| 29 | ELLIOTT Malcolm | 76 |
| 45 | DOWNS Rob | 67 |
| 48 | BITTINGER René | 69 |
| 58 | HARMELING Rob | 76 |
| 59 | JØRGENSEN Per Sandahl | 78 |