this Module Two Case Assignment is to generate a Linear Regression (LR) equation in Excel. We will be formulating this equation by exploiting data gathered by our client, the New Star Grocery Company, this organization relies that their consumer influx correlates with their monthly sales. Thus, we will commence this assignment by deliberating upon the means, in which we developed this equation. Development Henceforth, in developing this equation, we gathered the data provided by our clients with
solving linear differential equations with variable coefficients. The solutions usually take the form of power series; this explains the name Power series method. We review some special second order ordinary differential equations. Power series Method is described at ordinary points as well as at singular points (which can be removed called Frobenius Method) of differential equations. We present a few examples on this method by solving special second order ordinary differential equations. Key words
least square technique based on linear, exponential, asymptotic, curvilinear and logarithmic equations has been applied on the available data to produce the estimated data. The error analysis has been made to produce estimated error. It has been observed that average error based on least square technique based on linear equation has shown the minimum error (2.25%) as compared to the other models according to table 2. Therefore least square technique based linear equation has been chosen as the best known
Final Exam (30 points) Name: __Jacqueline Medrano__________ ID: __022231165____ Constructed Response (5 points/each) 1. List Mathematical Guiding Principles from California Common Core State Standards for Mathematics (CA CCSSM) and describe in your own words the importance of these principles - Make sense of problems and persevere in solving them- The importance of this principle is that students must be able to deeply understand a problem by themselves this ensure that the student can
Inequalities Lynwood Wright MAT 222 Week 2 Assignment Instructor: Dr. Stacie Williams December 14, 2013 In Elementary Algebra we have learned how to solve systems of equations. The solution to a system of linear equations is the point where the graphs of the lines intersect. The solution to a system of linear inequalities is every point in a region of the graph where the inequalities overlap, rather than the point of intersection of the lines (Slavin, 2001). This week assignment required
Discussion As presented in Table 1, only pennies were used in this part of the experiment. 8 pennies were added to the cup at each interval, and in response to the addition, the force consistently increased by 0.20 N. This demonstrated an upward trending linear relationship, as can be seen in Figure 1. The slope, or m, represents the weight of a penny, which, is shown in Figure 1 as 0.025 N. The x-values represent the independent variable, which is the # of pennies, while the y-values represent the dependent
Given what is known now about linear correlation and linear regression, it can be further understood how bivariate data, within a sample population could be figured. For instance, if one wanted to determine the relationship between a math classes test scores and study/prep time, variable one would
Two Variable Inequalities Melissa Hillard MAT222: Intermediate Algebra (GSQ1331C) Instructor Lisa Wallace August 10, 2013 Two Variable Inequalities For this assignment the class was asked to solve problem 68 from page 539 of our textbook Elementary and intermediate algebra (Dugopolski, 2012). Problem 68 tells the number of refrigerators and TV’s that will fit inside of an 18 wheeler truck. The class is asked to write an inequality to describe the region of the graph that is shaded in
For the Barbie Bungee lab, the groups used their knowledge about Bivariate Statistics to accurately find the relationship between the number of rubber bands and the length barbie fell. After identifying this relationship, the groups used the line of best fit formula to determine how many rubber bands would be needed in order to drop the doll from a known height and get the closest to the ground without touching it. One group completed this lab and was able to get there doll to get as close as 19
The plot that is most linear according to the line of best fit is Figure 2, f(x) = -0.00310x -0.4269 with a R^2 value of 0.9973. Comparatively, Figure 1 (zeroth reaction order) has a best fit line of f(x) = -0.00210(x) + 1.3426 with a R^2 value of 0.9094, and Figure 3 (second reaction order) has a best fit line of f(x) = 0.00550x+0.2716 with a R^2 value of 0.9559. So, my data suggests that Figure 2, rate law 1, is the most linear, and hence the correct order of reaction can be assumed first order