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 = 1.1 * weight - 55
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
2 | WOOD Oenone | 56 |
3 | COOKE Nicole | 58 |
6 | KIESANOWSKI Joanne | 56 |
7 | CARRIGAN Sara | 60 |
10 | GILMORE Rochelle | 56 |
13 | BRAMMEIER Nikki | 60 |
14 | HOUVENAGHEL Wendy | 60 |
17 | ULMER Sarah | 64 |
18 | BATES Katherine | 69 |