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 = -0.7 * weight + 56
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Vandewalle
1
74 kgLeezer
2
76 kgBrammeier
4
72 kgLe Floch
7
67 kgMeersman
10
63 kgCavendish
14
70 kg
1
74 kgLeezer
2
76 kgBrammeier
4
72 kgLe Floch
7
67 kgMeersman
10
63 kgCavendish
14
70 kg
Weight (KG) →
Result →
76
63
1
14
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VANDEWALLE Kristof | 74 |
| 2 | LEEZER Tom | 76 |
| 4 | BRAMMEIER Matt | 72 |
| 7 | LE FLOCH Guillaume | 67 |
| 10 | MEERSMAN Gianni | 63 |
| 14 | CAVENDISH Mark | 70 |