The olympic gold medal performances in the long jump from 1900 to 1988 have a strong positive association with a linear form. the regression equation is predicted long jump = 7.24 + 0.014(year since 1900) the standard error se for this linear model is about 0.2. in terms of estimating long jump distances, what does this mean? group of answer choices on average, estimates will be 0.2 meters from the winning long jump distance. on average 20% of the error in the estimates is explained by the regression line. on average 4% of the variation in gold medal jump distances is explained by the year. on average winning long jump distances have increased 0.2 meters each year between 1900 and 1988..