Outliers are often extreme values that are not as representative of the data set as the other points in the cluster. If the outliers are included, a description of the data set might be misrepresented.
Sample Answer: Outliers are often extreme values that are not as representative of the data set as the other points in the cluster. If the outliers are included, a description of the data set might be misrepresented.
Step-by-step explanation:
Outliers are less reliable than points in a cluster for representing the data set as a whole.
Outliers are often extreme values that occur rarely.
If outliers are not excluded, the interpretation of the data set may be overstated or understated.
If an important decision is based on an interpretation of the data set, excluding outliers provides the best basis for the decision.
represents slope and represents the y-intercept. In a finished equation, and are left as variables. and represent any given point in the function. In this case, one of the given coordinates is , and we can use this by using as and as . After plugging in known variable, the equation becomes this:
This simplifies to:
Then to:
.
After plugging in slope and y-intercept, the finished equation is: