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Linear equations, graphing

Occasionally some nonlinear algebraic equations can be reduced to linear equations under suitable substitutions or changes of variables. In other words, certain curves become the graphs of lines if the scales or coordinate axes are appropriately transformed. [Pg.434]

Calibration is also used to describe the process where several measurements are necessary to establish the relationship between response and concentration. From a set of results of the measurement response at a series of different concentrations, a calibration graph can be constructed (response versus concentration) and a calibration function established, i.e. the equation of the line or curve. The instrument response to an unknown quantity can then be measured and the prepared calibration graph used to determine the value of the unknown quantity. See Figure 5.2 for an example of a calibration graph and the linear equation that describes the relationship between response and concentration. For the line shown, y = 53.22x + 0.286 and the square of the correlation coefficient (r2) is 0.9998. [Pg.105]

Notice how this form of the Nernst equation (equation 3.9) can be thought of as a linear equation of the form y = mx + c thus allowing calibration graphs to be drawn. Figure 3.6 represents such a calibration graph for copper ions in aqueous solution. Note the important conclusion that the electrode potential decreases (i.e. becomes more negative) as the activity decreases. [Pg.39]

Purpose of the spreadsheet (e.g., calculation of linear regression, including equation, graph, and formula used)... [Pg.281]

In addition to being easier to fit than the hyperbolic Michaelis-Menten equation, Lineweaver-Burk graphs clearly show differences between types of enzyme inhibitors. This will be discussed in Section 4.5. However, Lineweaver-Burk equations have their own distinct issues. Nonlinear data, possibly indicating cooperative multiunit enzymes or allosteric effects, often seem nearly linear when graphed according to a Lineweaver-Burk equation. Said another way, the Lineweaver-Burk equation forces nonlinear data into a linear relationship. Variations of the Lineweaver-Burk equation that are not double reciprocal relationships include the Eadie-Hofstee equation7 (V vs. V7[S]) (Equation 4.14) and the Hanes-Woolf equation8 ([S]/V vs. [S]) (Equation 4.15). Both are... [Pg.76]

These three examples cover all the possible cases. The relation between n(8), ii(e) and n(v) depends on two factors the presence/absence of pendant vertices, and the presence/absence of odd cycles in the graph. The set of independent parameters is determined by solution of a set of linear equations, one for each vertex at which the sum constraint is to be applied, and with every edge appearing in two such equations. The distinct cases are as follows [13]. If the graph has no pendant vertices, then either... [Pg.224]

The heat of sublimation of violet phosphorus can be calculated from the pressure-temperature relations in a similar manner. In the first place, c is calculated by equation (2) (p. 36) between T1 = 343-5+273 and T2 = 589-5 +273 and is found to be 18-9. Since the TlnpjT graph is found to be rectilinear over this range of temperature it follows that Qsv does not vary much, and it was possible to write the linear equation... [Pg.37]

Calculation Calculate the linear equation of the graph using a least-squares fit, and derive from it the concentration of nickel in the Test Preparation. Alternatively, plot on a graph the mean of the readings against the added quantity of nickel. Extrapolate the line joining the points on the graph until it meets the concentration axis. The distance between this point and the intersection of the axes represents the concentration of nickel in the Test Preparation. [Pg.874]

A Graph-Theoretic Study of the Numerical Solution of Sparse Positive-Definite Systems of Linear Equations. [Pg.70]

In the interpretation of the results of a scientific experiment, it is often useful to make a graph. It is usually most convenient to graph the function in a form that gives a straight line. The equation for a straight line (a linear equation) can be represented by the general form... [Pg.1074]

The graph of a linear equation, in a rectangular coordinate system, is a straight line, hence the term linear. The graph of simultaneous linear equations is a set of lines, one corresponding to each equation. The solution to a simultaneous system of equations, if it exists, is the set of numbers that correspond to the location in space where all the lines intersect in a single point. [Pg.130]

Linear equation—linear equation is one in which no product of variables appears. The graph of a linear equation is a straight line, hence the term linear. [Pg.132]

Closely related to MPR descriptors are local vertex invariants called graph potentials denoted by U,- [Golender et al., 1981 Ivanciuc et ai, 1992]. They are calculated as the solutions of a linear equation system defined as ... [Pg.335]

Rewrite each of the following linear equations in the form y = mx + b, and give the slope and intercept of the corresponding plot. Then draw the graph. [Pg.990]

If the functional relationship between one variable and another is linear, a straight-line plot would be obtained on arithmetic-coordinate graph paper. If the relationship approaches a linear one, the best method of fitting the data to a linear model would be through the method of least squares. The resulting linear equation (or line) would have the properties of lying as close as possible to the data. For statistical purposes, close and/or best fit is defined as that linear equation or line for which the sum of the squared vertical distances between the data (values of Y or independent variable) and line is minimized. These distances are called residuals. This approach is employed in the solution below. [Pg.178]


See other pages where Linear equations, graphing is mentioned: [Pg.286]    [Pg.243]    [Pg.255]    [Pg.434]    [Pg.472]    [Pg.445]    [Pg.40]    [Pg.12]    [Pg.133]    [Pg.178]    [Pg.115]    [Pg.24]    [Pg.243]    [Pg.255]    [Pg.55]    [Pg.150]    [Pg.224]    [Pg.28]    [Pg.136]    [Pg.21]    [Pg.193]    [Pg.286]    [Pg.261]    [Pg.1075]    [Pg.130]    [Pg.107]    [Pg.562]    [Pg.67]   
See also in sourсe #XX -- [ Pg.6 , Pg.7 ]




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