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 = 1.8 * weight - 91
This means that on average for every extra kilogram weight a rider loses 1.8 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
5 | DOWNING Russell | 64 |
13 | SULZBERGER Bernard | 67 |
14 | MARÍN Ruber Alveiro | 55 |
25 | WOHLBERG Eric | 63 |
28 | LE MÉVEL Christophe | 61 |
31 | LJUNGBLAD Jonas | 70 |
45 | POILVET Benoît | 71 |
46 | CUMMINGS Steve | 73 |
47 | LIESE Thomas | 75 |