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A best-fit line is the straight line which most accurately represents a set of data/points. It is defined as the line that is the smallest average distance from the data/points. Refer to the related links for an illustration of a best fit line.
No. Consider four points at the corners of a perfect square.
By plotting the points, any point that is not roughly in line with the other points would not fit in with the overall pattern: ........................................ ..|..................................... ..|...........................*....... ..|.......#..............*............ Clearly the point marked # does not fit in with the ..|.........................*.......... general pattern of the points marked * ..|................*................... ..|...................*................ ..|..............*..................... ..|............*....................... ..|......*............................. ..------------------------------.. ........................................
No, it is not necessarily true that the median is always one of the data points in a set of data. The median is found by arranging the data in numerical order and selecting the middle value. This value might be one of the data points, but it could also be the average of two data points if there is an even number of values in the set.
no * * * * * Yes, almost always. If you have n data points which are 1-to-1, then it is always possible to fit a polynomial of degree n-1 or greater.
Data that does not fit with the rest of the data set.
No.
They are called extreme values or outliers.
Anomalous Data
A best-fit line is the straight line which most accurately represents a set of data/points. It is defined as the line that is the smallest average distance from the data/points. Refer to the related links for an illustration of a best fit line.
No. Consider four points at the corners of a perfect square.
By plotting the points, any point that is not roughly in line with the other points would not fit in with the overall pattern: ........................................ ..|..................................... ..|...........................*....... ..|.......#..............*............ Clearly the point marked # does not fit in with the ..|.........................*.......... general pattern of the points marked * ..|................*................... ..|...................*................ ..|..............*..................... ..|............*....................... ..|......*............................. ..------------------------------.. ........................................
Is a wriggly curve that goes through each one of them.
That is not true. It is possible for a data set to have a coefficient of determination to be 0.5 and none of the points to lies on the regression line.
No, it is not necessarily true that the median is always one of the data points in a set of data. The median is found by arranging the data in numerical order and selecting the middle value. This value might be one of the data points, but it could also be the average of two data points if there is an even number of values in the set.
Anomalous data is data that doesn't fit with the rest of the set. Ex: In week one the tree was 2ft. tall , in week two the tree was 6ft. tall, and in week three the tree was 5ft. tall. Week two would be the anomalous data because it doesn't fit with the other data. I hope this helps!
Anomalous data is data that doesn't fit with the rest of the set. Ex: In week one the tree was 2ft. tall , in week two the tree was 6ft. tall, and in week three the tree was 5ft. tall. Week two would be the anomalous data because it doesn't fit with the other data. I hope this helps!