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 = -0.5 * weight + 69
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MENZIES Karl | 86 |
| 2 | REID Robin | 62 |
| 3 | MITCHELL Glen | 70 |
| 5 | HENDERSON Gregory | 75 |
| 14 | WOHLBERG Eric | 63 |
| 18 | BEWLEY Sam | 81 |
| 22 | CHAPMAN Joe | 78 |
| 24 | GUDSELL Timothy | 77 |
| 25 | LAPTHORNE Darren | 70 |
| 30 | AVERY Clinton | 90 |
| 41 | FOWLER Brian | 71 |
| 62 | BLACKGROVE Heath | 65 |
| 75 | BAUER Jack | 74 |
| 88 | NORTHEY Michael James | 69 |