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thomas49th
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Hi, should I use a line of best fit on a cumulative frequency graph or join the ponits. I looked on google and it;s all mis mashed. Is it arbituary or depend on data?
Thanks
Thanks
No, there are cases where a line of best fit may not be appropriate or necessary. For example, if the data points do not show a clear linear relationship, it may be misleading to connect them with a line. In addition, if the data is categorical rather than numerical, a line of best fit would not make sense.
The type of line of best fit to use depends on the type of relationship between the data points. If the points show a clear linear relationship, a straight line of best fit would be appropriate. However, if the points show a non-linear relationship, a curved line (such as a quadratic or exponential) may be more fitting.
Yes, a line of best fit can be used for predictive purposes by extending the line beyond the given data points. However, it is important to note that this assumes the relationship between the data points will continue in the same pattern, which may not always be the case.
No, it is not necessary to have an equal number of data points on each side of the line of best fit. The line of best fit is determined by finding the best fit for all the data points, regardless of their distribution.
The slope of a line of best fit represents the rate of change between the x and y variables. A positive slope indicates a positive relationship, while a negative slope indicates a negative relationship. The y-intercept represents the value of the y variable when the x variable is equal to 0. It can also be interpreted as the starting point of the line.