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 - 5
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GATE Aaron | 71 |
| 2 | MUDGWAY Luke | 65 |
| 3 | CHRISTENSEN Ryan | 63 |
| 4 | FISHER-BLACK Finn | 69 |
| 5 | STRONG Corbin | 63 |
| 6 | OLIVER Ben | 71 |
| 7 | MCCORMICK Hayden | 72.5 |
| 8 | BENNETT George | 58 |
| 9 | STEWART Campbell | 76 |
| 12 | BURNETT Josh | 73 |
| 13 | SEXTON Tom | 71 |
| 14 | DRAGE Jack | 55 |
| 16 | JACKSON George | 75 |
| 17 | GILBERTSON Theo | 68 |
| 18 | BATT Ethan | 76 |