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 = -0.2 * weight + 23
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PLOWRIGHT Jensen | 80 |
| 2 | GATE Aaron | 71 |
| 3 | KENNETT Dylan | 75 |
| 4 | STRONG Corbin | 63 |
| 5 | JACKSON George | 75 |
| 7 | KERGOZOU DE LA BOESSIERE Nick | 74 |
| 8 | STEWART Campbell | 76 |
| 9 | QUICK Blake | 77 |
| 10 | MCCORMICK Hayden | 72.5 |
| 12 | MUDGWAY Luke | 65 |
| 13 | WALSH Liam | 80 |
| 15 | YAMAMOTO Genki | 62 |