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 = -0.6 * weight + 54
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
3 | NOVARDIANTO Jamalidin | 69 |
4 | REZVANI Morteza | 68 |
6 | CARSTENSEN Lucas | 69 |
9 | PHOUNSAVATH Ariya | 67 |
10 | BOONRATANATHANAKORN Turakit | 72 |
13 | ABDURRAHMAN Muhammad | 56 |
16 | CAVANAGH Ryan | 72 |
17 | OCONER George | 59 |
19 | KIM Euro | 68 |
20 | HOLLER Nikodemus | 58 |
21 | MAT AMIN Mohd Shahrul | 54 |
22 | SAI-UDOMSIN Phuchong | 60 |