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 = 1.4 * weight - 82
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STRONG Corbin | 63 |
| 3 | BROWN Connor | 74 |
| 5 | FISHER-BLACK Finn | 69 |
| 6 | SCHULTZ Elliot | 62 |
| 8 | GILBERTSON Theo | 68 |
| 9 | FITZWATER Matias | 67 |
| 10 | METCALFE Ben | 59 |
| 23 | STEWART Campbell | 76 |
| 25 | BATT Ethan | 76 |
| 29 | JACKSON George | 75 |
| 32 | WATTS Kiaan | 72 |
| 34 | PLOWRIGHT Jensen | 78 |
| 35 | QUICK Blake | 77 |
| 38 | GROUBE Carne | 69 |