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line of best fit.

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14y ago
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Q: What is a line that comes as close as possible to data points as possible?
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Is it possible to have a standard deviation of less than one?

Anand Mehta said yes and this is correct. You will get a SD, for example, if all of the data points are less than one, or if the data points are very close together and there is not much spread in the data..


What is the line that lies as close as possible to all the data points in a scatter plot?

the line of best fit if you have any more math questions conmtact me at jibleesmaster@yahoo.com


If the coefficient of determination for a data set containing 12 points is 0.5 6 of the data points must lie on the regression line for the data set.?

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.


A line that is very close to most of the data points in a scatter plot?

line of fit


What are the points that don't follow the line of best fit called?

Data points that are not close to the line of best fit are called outliers.


Can A data set can have no mode?

It is possible for a data set to have no mode if none of the data points are repeated.


What is a graph with points plotted to show a possible relationship between two sets of data?

A scatter plot


Should you include as many data points as possible directly on the line when drawing the line of best fit?

That will depend on how you have defined "best fit".-- If it means "maximizes the number of points that are right on", then you'll want tojockey the line around so that as many data points as possible fall directly on it.-- If 'best fit' means the sum of the distances by which the line misses all data pointsis as small as possible, then very few of them may actually sit right on the line.


What are the possible sources of error in this experiment value data is not close to accepted and true value?

Not enough information


What is a least square regression line?

If you plot data points on a graph the rarely will form a straight line. Least squares is a method of finding a line 'close' to all the data points instead of just guessing and drawing a line that looks good. If you have a line, then there is an algebraic formula to find the distance from each point to that line. Then using statistics, you can make the statistically averaged distance from each data point as close as possible to a line. The distances are squared, averaged, and the average of those squared distances may be used to find the regression line.


What is the sum of all the data points divided by the number of data points?

the average


The line that comes closest to all of the points in a data set?

Is a wriggly curve that goes through each one of them.