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 + 21
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
4 | BATES Gene | 61 |
5 | BAZAYEV Assan | 62 |
7 | IGLINSKIY Maxim | 67 |
10 | SCHEIRLINCKX Bert | 67 |
15 | DAVIS Scott | 60 |
20 | FUKUSHIMA Shinichi | 62 |
23 | WONG Kam-Po | 65 |
24 | SUZUKI Shinri | 60 |
59 | FUJINO Tomokazu | 63 |
61 | STAM Danny | 64 |