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1. Problem 1. Given a data set (X, Y), use the least squares techniques to find the best ftting c...
HELP!! In Matlab The scenario is simple: A set of (x,y) data is available in the form of a simple text file – the first column represents x-values and the second column represents y-values. The task at hand is to provide the best model (or curve fit) to this set of data. Your application should provide the means to fit the following curve types to the data: Linear (first order polynomial) of form (?? = ???? + ??) with non-zero...
Example 1: Least Squares Fit to a Data Set by a Linear Function. Compute the coefficients of the best linear least-squares fit to the following data. x2.4 3.6 3.64 4.7 5.3 y| 33.8 34.7 35.5 36.0 37.5 38.1 Plot both the linear function and the data points on the same axis system Solution We can solve the problem with the following MATLAB commands x[2.4;3.6; 3.6;4.1;4.7;5.3]; y-L33.8;34.7;35.5;36.0;37.5;38.1 X [ones ( size (x)),x); % build the matrix X for linear model %...
1. Use Cramer's rule to solve this system. X + 4z = 2 2x + y -z= 1 X +z=-1 on 910 2. Given the data points (0,), (1,3), (2,5) use the equation y=f(x) = mx +b to find the least square solution for best line fit. a. Evaluate the equation using the data points to obtain four linear equations. b. Write the system in 10a in a matrix form Ax=b. durants bhonebnih 516 10 boer word c. Write the...
Projections and Least Squares 3. Consider the points P (0,0), (1,8),(2,8),(3,20)) in R2, For each of the given function types f(x) below, . Find values for A, B, C that give the least squares fit to the set of points P . Graph your solution along with P (feel free to graph all functions on the same graph). . Compute sum of squares error ((O) -0)2((1) 8)2 (f(2) -8)2+ (f(3) - 20)2 for the least squares fit you found (a)...
Use matlab a) Create a simulated data set b) Create a set of plots to determine the best transformation to linearize the data c) Fit a first order polynomial (y mx + b) to the linearized data to find the constants m and b d) Reconstruct the original equation from m and b in the linear fitted polynomial e) Plot the fitted equation. Radioactive decay is modeled by the equation: rt where A the amount of mass as a function...
(a) Suppose you are given the following (x, y) data pairs x136y217Find the least-squares equation for these data (rounded to three digits after the decimal) (b) Now suppose you are given these (x, y) data pairs. x217y136Find the least-squares equation for these data (rounded to three digits after the decimal). (c) In the data for parts (a) and (b), did we simply exchange the x and y values of each data pair? Yes No (d) Solve your answer from part (a) for x (rounded to...
Find the equation y = Bo + B,x of the least-squares line that best fits the given data points. (1,1), (2,1), (3,2), (4,2) The line is y=+x. (Type integers or decimals.) Find the equation y = B.+Byx of the least-squares line that best fits the given data points. (5,6), (6,4), (8,2), (9,0) The line is y=+x. (Type integers or decimals.) Find the equation y = Be + Box of the least-squares line that best fits the given data points. (-1,0),...
Find the equation y = B. +B,x of the least-squares line that best fits the given data points. (0,1),(1,1)(2,2), (3,2) The line is y=0+(x (Type integers or decimals.)
2. Suppose Y ~ Exp(a), which has pdf f(y)-1 exp(-y/a). (a) Use the following R code to generate data from the model Yi ~ Exp(0.05/Xi), and provide the scatterplot of Y against X set.seed(123) n <- 500 <-rnorm (n, x 3, 1) Y <- rexp(n, X) (b) Fit the model Yi-Ao + Ax, + ε¡ using the lm function in R and provide a plot of the best fit line on the scatterplot of Y vs X, and the residual...
Given the data -1 | 1 | 2 Y | 1 | 3 | 3 find the best least squares fit by a linear function y=co+gx