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how do you use observed data to predict unobserved data in this lesson you will learn how to interpret scatter plots by identifying the line of best fit lets look at this graph of a linear function if i wanted to know the value of y when x was 7 i could simply use this graph i would find 7 on the x-axis and then determine the corresponding y-value on the graphed line and in this case when x is seven y is sixty-five a common mistake when identifying the line of best fit is letting the outlier have too much influence on the line that is drawn an outlier is just that it is something that is out of the ordinary and should not have a large influence on the line of best fit so weve collected data of the number of homework assignments completed and the corresponding test score just by looking at this i can see that there is a positive association as the homework assignments completed increases the test scores also increase this is great to know however the main purpose of creating scatter