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 = -0.3 * weight + 29
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
3 | MIZBANI Ghader | 67 |
4 | ABDURRAHMAN Muhammad | 56 |
5 | WHITEHOUSE Daniel | 58 |
10 | FELIPE Marcelo | 58 |
11 | MONSALVE Yonathan | 62 |
12 | SAFARZADEH Saeid | 66 |
16 | GALEDO Mark John Lexer | 58 |
17 | NOVARDIANTO Jamalidin | 69 |
18 | CAHYADI Aiman | 52 |
20 | MAZUKI Nur Amirul Fakhruddin | 57 |
23 | NIETO Edgar | 58 |