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 + 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Lamperti
1
74 kgSchandorff Iwersen
2
62 kgHertz
7
68 kgKinniburgh
8
76 kgBourgoyne
9
66 kg
1
74 kgSchandorff Iwersen
2
62 kgHertz
7
68 kgKinniburgh
8
76 kgBourgoyne
9
66 kg
Weight (KG) →
Result →
76
62
1
9
# | Rider | Weight (KG) |
---|---|---|
1 | LAMPERTI Luke | 74 |
2 | SCHANDORFF IWERSEN Emil | 62 |
7 | HERTZ Benjamin | 68 |
8 | KINNIBURGH Jackson | 76 |
9 | BOURGOYNE Lucas | 66 |