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 * weight + 5
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MUDGWAY Luke | 65 |
| 2 | WATTS Kiaan | 72 |
| 3 | BOWER Lewis | 63 |
| 5 | CARSTENSEN Lucas | 69 |
| 6 | OLIVER Ben | 71 |
| 9 | ORAM James | 68 |
| 11 | KERGOZOU DE LA BOESSIERE Nick | 74 |
| 14 | YAMAMOTO Genki | 62 |
| 17 | GRAVE Oliver | 69 |