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 = 0.8 * weight - 26
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ORAM James | 68 |
| 2 | WHITEHOUSE Daniel | 58 |
| 3 | VINK Michael | 73 |
| 4 | PHELAN Adam | 73 |
| 5 | DYBALL Benjamin | 63 |
| 8 | CRAWFORD Jai | 59 |
| 14 | MCCORMICK Hayden | 72.5 |
| 24 | JONES Brenton | 81 |
| 28 | GOESINNEN Floris | 75 |
| 32 | PORTER Elliott | 73 |
| 38 | AMBROSE Scott | 66 |
| 43 | LAVERACK Edward | 62 |
| 47 | SCULLY Tom | 85 |
| 48 | WIPPERT Wouter | 75 |
| 61 | CLARK Boris | 68 |
| 83 | RUDOLPH Malcolm | 69 |