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 = 2.4 * weight - 170
This means that on average for every extra kilogram weight a rider loses 2.4 positions in the result.
Dolman
1
71 kgKarstens
5
74 kgJanssen
9
76 kgSteevens
11
73 kgNijdam
16
75 kgZoet
25
77 kgHugens
26
83 kgPost
32
79 kg
1
71 kgKarstens
5
74 kgJanssen
9
76 kgSteevens
11
73 kgNijdam
16
75 kgZoet
25
77 kgHugens
26
83 kgPost
32
79 kg
Weight (KG) →
Result →
83
71
1
32
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DOLMAN Evert | 71 |
| 5 | KARSTENS Gerben | 74 |
| 9 | JANSSEN Jan | 76 |
| 11 | STEEVENS Harry | 73 |
| 16 | NIJDAM Henk | 75 |
| 25 | ZOET Bart | 77 |
| 26 | HUGENS Jan | 83 |
| 32 | POST Peter | 79 |