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 = 1.2 * weight - 64
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | YATES Jeremy | 73 |
| 3 | BLACKGROVE Heath | 65 |
| 5 | HENDERSON Gregory | 75 |
| 6 | ROULSTON Hayden | 81 |
| 8 | FOWLER Brian | 71 |
| 9 | MITCHELL Glen | 70 |
| 10 | GUYTON Scott | 74 |
| 12 | GUDSELL Timothy | 77 |
| 15 | REID Robin | 62 |
| 76 | DEAN Julian | 72 |
| 89 | CHAPMAN Joe | 78 |