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 = -0.6 * weight + 68
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HENDERSON Gregory | 75 |
| 6 | CHAPMAN Joe | 78 |
| 12 | MITCHELL Glen | 70 |
| 14 | NORTHEY Michael James | 69 |
| 15 | AVERY Clinton | 90 |
| 16 | REID Robin | 62 |
| 20 | BEWLEY Sam | 81 |
| 21 | MENZIES Karl | 86 |
| 37 | BLACKGROVE Heath | 65 |
| 39 | WOHLBERG Eric | 63 |
| 42 | GUDSELL Timothy | 77 |
| 48 | LAPTHORNE Darren | 70 |
| 49 | FOWLER Brian | 71 |
| 59 | BAUER Jack | 74 |