Linear equation

value, x3=ability to interact easily. Equation- Ӯ=a+b1(x1) +b2(x2) +b3(x3)Overall college GPA=2.250+0.002(GRE, quantitative+0.028(ability to interact). Step 1-If the model is significant with a significant value of 0.014, less than 0.05. High F value (3.907), lower significance value (.014). Step 2=Amounted accounted for=R2=.20320.3% of the variance is accounted for by the predictors. There was a moderate effect size. There is a moderate correlation (R=0.451)

Bivariate 3.9: Waitutu Forest Saplings Problem I am going to investigate if there is a relationship between the height of Waitutu forest saplings, and their width (measured at breast height). Both the explanatory variable and the response variable are measured in centimetres. This data was taken from randomly selected trees in study plots of either 1.5 hectares or 2.25 hectares of the Waitutu Forest in the summer. The data was published by the Landcare research NZ.ltd in the Waitutu Forest, Southland

one that has the formula is 1/K_2 〖Cr〗_2 O_7. When you have all your data you will create three graphs. The graphs will be 〖time vs [K〗_2 〖Cr〗_2 O_7], 〖time vs ln[K〗_2 〖Cr〗_2 O_7], 〖time vs 1/[K〗_2 〖Cr〗_2 O_7] just like Figure 2,3,4. You will use linear regression and the R squared value for all three of the graphs to determine the rate order of this reaction. You will analysis each graph and determine which

process of linear least-squared analysis as well as developing the skills to use EXCEL and having the criteria for the best line of fit to ones’ graphs. Linear least-squared analysis is a statistical method to determine a line of best fit by minimizing the sum of squares created by a mathematical function. A “square” is determined by squaring the distance between a data point and the regression line. For the 1st order kinetics graph, the y-axis was for the sum of ln(A). The straight line equation came

depend upon its length and self-weight of the beam large deflection of combined loading was proposed by kyongoo lee [1] finding deflection of non-linear elastic cantilever beam and solved governing equation using numerical integration of one- parameter shooting method. Bishop and drucker [2] investigate large deflection of cantilever beam of linear elastic material. We are using nitinol (nickel titanium alloy) beam it’s having a low modulus of elasticity (E) which shows good spring

Just like simple regression model, a multivariate regression equation is an equation for estimating a dependent variable, say X1, from the independent variables X2, X3, . . . and is called a regression equation of X1 on X2, X3, . . . etc. In functional notation this is sometimes written briefly as E[X1] = F(X2, X3, . . .) (where E[.] refers to statistical expectation). For the case of three variables, the simplest linear regression equation of X1 on X2 and X3 has the form X_1=b_1.23+b_12.3 X_2+b_13

the First Order reaction is observed to be much more linear than the graph of the second-order reaction which concludes that the Blue #1 Food Dye is a first-order reaction. This conclusion can also be supported by the R2 values found for each of the graphs. The first-order reaction R2 value is much closer to 1 with an R2 value of 0.995 than the R2 value of 0.870 for the second order reaction graph meaning that the data in Figure 1, fit the linear trendline better than the data in Figure 2. This R2

Solow model is widely considered to be the standard neoclassical economic growth model which serves as the basis for understanding economic growth. I will first introduce the two basic equations that the Solow model is built around, discussing the main assumptions made along the way. I will then present the key equation of the Solow model and discuss its results and implications. I will then address why it is desirable to use log-linearization, and how it can be used to study the dynamics near the steady-state

using the equation rate = k[A]n[B]m, a ratio can be created of the rate equation of trial 1 to that of trial 2. These two trials are chosen because the concentration of reactant A is the same for both trials, so it can be simplified to one in the ratio. Since k is a constant and thus the same in both trials, it can be simplified to one in the ratio as well. After exchanging variables for the experimental data and simplifying, the resulting equation is 0.5 = 0.5m,

Structural Analysis of Heritage Structures Soumyaa, A. D. Pandeyb , M. J. Maheshc, Pooja S.d, Rajarshi De and Saride Anveshf, a, b,c,d,e,f Department of Earthquake Engineering, Indian Institute of Technology Roorkee, Uttarakhand, India Abstract Most of the built heritage comprises of stone and brick masonry structures. Structural assessment and remedial interventions on structural systems of these buildings require special considerations to retain the architectural integrity and historical authenticity