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?

On the average, estimates will be either be 0.2 meters too short or too long.

Step-by-step explanation:

Standard deviation is normally used to show how the actual value of a variable in a given sample deviates from the mean or average value of the sample. The deviation could be slightly more or less than the average value by the value of the standard deviation. Therefore, in this question, the standard deviation shows that the estimates could be 0.2 m short or more than the mean.

i believe the answer is c.

what? that isnt a question

step-by-step explanation: