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 = 0.9 * weight - 65
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Steels
1
73 kgNijdam
2
70 kgPeeters
5
76 kgOmloop
8
78 kgCorvers
9
77 kg
1
73 kgNijdam
2
70 kgPeeters
5
76 kgOmloop
8
78 kgCorvers
9
77 kg
Weight (KG) →
Result →
78
70
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STEELS Tom | 73 |
| 2 | NIJDAM Jelle | 70 |
| 5 | PEETERS Wilfried | 76 |
| 8 | OMLOOP Geert | 78 |
| 9 | CORVERS Frank | 77 |