A scatter diagram will give a quick but rough extimate of the trend line - especially if there is a lot of variation about the trend. The least squares method will be more accurate.
I believe it is linear regression.
For a linear I can see no advantage in the table method.
you cant
putang ina nyu
Analytical range refers to the method/procedure used, It can include a non linear response. If you plot the analytical results versus the reference values you will have a linear curve. The linear range could be more precisely given by saying the linear instrument range
ADVANTAGES Shows relationship between two variables best method to illustrate a non-linear pattern.
I believe it is linear regression.
For a linear I can see no advantage in the table method.
method of linear measurement
you could use a scatter diagram, or the hi/lo method or solve with the help of regression analysis. Hi/lo would normally be easy and fastest.
LPP deals with solving problems which are linear . ex: simlpex method, big m method, revised simplex, dual simplex. NLPP deals with non linear equations ex: newton's method, powells method, steepest decent method
Both the substitution method and the linear combinations method (or elimination method) are techniques used to solve systems of linear equations. In the substitution method, one equation is solved for one variable, which is then substituted into the other equation. In contrast, the linear combinations method involves adding or subtracting equations to eliminate one variable, allowing for the direct solution of the remaining variable. While both methods aim to find the same solution, they differ in their approach to manipulating the equations.
obtained in "How was it obtained?" means how did they get it.
A simple method involves cutting a rubber band. Then the rubber band straight line is stretched over the scatter diagram and moved about until you feel that 50 % of your data is on one side of the temporary line and the other 50 % is on the other side of the line. Often the data is grouped such that a lot of points fall on the imaginary line of the rubber band and only a few oddballs are positioned well away from the line. We think of this method as the " Best Fit " method, using your judgment to decide the best fitting trend line.
There are several methods to solve linear equations, including the substitution method, elimination method, and graphical method. Additionally, matrix methods such as Gaussian elimination and using inverse matrices can also be employed for solving systems of linear equations. Each method has its own advantages depending on the complexity of the equations and the number of variables involved.
Simplex Method and Interior Point Methods
high-low method