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 = 0.1 * weight + 15
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | CRANAGE Joshua | 63 |
2 | JESSEN Cohen | 58 |
3 | HOLMES Wil | 64 |
4 | CHAMBERLAIN Oscar | 74 |
5 | HADDEN Nate | 68 |
9 | BLANNIN Noah | 65 |
17 | HEATH Will | 63 |
20 | HARVEY Hugh | 75 |
22 | MCROBBIE Finlay | 66 |
32 | GRIERSON Josiah | 68 |
35 | SMITH Jeremy | 58 |
42 | WHITE Alex | 71 |
50 | JOHNSTONE Caleb | 63 |