Area = Side * Side
the side is 36.055 yards. in order to find the sides of a square with only the area you would need to find the square-root of that data seeing as the sides of the square are identical and are multiplied by each other to get the area.
(x,4x).
by figuring out the equation
I could not figure out the math equation. The new data did not fit the existing equation. An equation can be a math formula or standard method.
A data series is a collection of data, most likely numbers, that you would use to graph or solve an equation.
the side is 36.055 yards. in order to find the sides of a square with only the area you would need to find the square-root of that data seeing as the sides of the square are identical and are multiplied by each other to get the area.
The answer depends on the shape and dimensions of the prism. If the cross section is an equilateral triangle with sides of rational length then you will require a square root to find its area. You could, of course, have a 3-4-5 triangle, in which case no square root is required if the length is rational.
(x,4x).
Insufficient data for a meaningful answer.
You measure it, or you calculate it. The details of the calculations depend on what data is known. Note that the diagonal of the square is equal to any of the sides, multipled by the square root of 2.
Square meter is a unit of area. Meter is a unit of length. You cannot convert area to length with the current data you have provided.
by figuring out the equation
The area of My Loc District is 73 square kilometers.
I could not figure out the math equation. The new data did not fit the existing equation. An equation can be a math formula or standard method.
There are no "following" data!
A data series is a collection of data, most likely numbers, that you would use to graph or solve an equation.
A reduced chi-square value, calculated after a nonlinear regression has been performed, is the is the Chi-Square value divided by the degrees of freedom (DOF). The degrees of freedom in this case is N-P, where N is the number of data points and P is the number of parameters in the fitting function that has been used. I have added a link, which explains better the advantages of calculating the reduced chi-square in assessing the goodness of fit of a non-linear regression equation. In fitting an equation to the data, it is possible to also "over fit", which is to account for small and random errors in the data, with additional parameters. The reduced chi-square value will increase (show a worse fit) if the addition of a parameter does not significantly improve the fit. You can also do a search on reduced chi-square value to better understand its importance.