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..

statement #3: proof- ang is congruent to ang ecd : angles are congruent.  

step-by-step explanation:

1: the missing angles in statement #3  

a.) acb  

reason- the reason why the answer is acb is because angle ecd and angle acb are both the same size *that's what the word congruent means this is really simple.  

2: the missing word in reason #3  

c.) vertical  

reason- the reason why the answer is vertical is because the angles in that diagram on figure 2 is slanted, which is vertical, and the e and a both lay on vertical lines. along with the other's, but e and a are the 2 main points you want to focus on. and c is kind of like your starting point, because c is for both angles, not just one.  

i hope that was and understanding.

the answer is b

step-by-step explanation: