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 = 1.7 * weight - 81
This means that on average for every extra kilogram weight a rider loses 1.7 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
3 | WONG Kam-Po | 65 |
4 | IGLINSKIY Maxim | 67 |
6 | SCHEIRLINCKX Bert | 67 |
10 | SUZUKI Shinri | 60 |
15 | DAVIS Scott | 60 |
16 | FUKUSHIMA Shinichi | 62 |
22 | BAZAYEV Assan | 62 |
25 | BATES Gene | 61 |
68 | STAM Danny | 64 |
70 | FUJINO Tomokazu | 63 |
81 | ABE Yoshiyuki | 67 |