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 = 2.3 * weight - 129
This means that on average for every extra kilogram weight a rider loses 2.3 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
3 | BRACKE Ferdinand | 79 |
5 | SCHLECK Johny | 72 |
13 | LASA Miguel María | 68 |
14 | AJA Gonzalo | 66 |
16 | TAMAMES Agustín | 66 |
17 | SCHUTZ Edy | 72 |
18 | DÍAZ Ventura | 72 |
19 | PARENTEAU Jean-Pierre | 68 |
20 | ZOETEMELK Joop | 68 |
25 | POULIDOR Raymond | 71 |
44 | KARSTENS Gerben | 74 |
51 | DOLMAN Evert | 71 |
52 | PIJNEN René | 72 |
53 | GODEFROOT Walter | 73 |
62 | SAÉZ Ramón | 74 |
83 | KREKELS Jan | 73 |
84 | STEEVENS Harry | 73 |