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.
# | Rider | Weight (KG) |
---|---|---|
1 | PINOTTI Marco | 67 |
2 | BRUSEGHIN Marzio | 70 |
3 | CIONI Dario David | 72 |
4 | NIBALI Vincenzo | 65 |
5 | ASCANI Luca | 75 |
6 | QUINZIATO Manuel | 74 |
7 | BALLAN Alessandro | 73 |
11 | FRANZOI Enrico | 70 |
13 | SIMEONI Filippo | 68 |
19 | DONATI Alessandro | 71 |