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 - 8
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | BERTAGNOLLI Leonardo | 63 |
2 | GRIVKO Andrey | 70 |
3 | GEORGE David | 61 |
5 | KUX Christian | 74 |
7 | KREUZIGER Roman | 65 |
8 | JANSE VAN RENSBURG Jacques | 63 |
9 | IMPEY Daryl | 72 |
10 | VELITS Peter | 63 |
14 | VELO Marco | 70 |
15 | POWER Ciarán | 68 |