Question 4 Obtain a least squares exponential fit for the following data. Temperature, T (oF) |...
making sure i did them right. please answer all 4. From theoretical considerations, it is suspected that the rate of flow from a fire hose is proportional to some power of the pressure at the nozzle. Do the following data confirm this observation? Get the least-squares values for the exponent and the proportionality factor Q1. Flow Rate 94 118 147 180 230 Pressure 10 16 25 40 60 These data represent solubility of n-butane in liquid anhydrous hydrofluoric acid. Fit...
least squares to fit a straight line Pre-lab A-3 Least Squares Fit to a Straight Line Read lab A-3: Least squares fit to a straight line. A set of data is given in the following table and plotted on the right: x(s) y (m) Lab 3 exercise 27 Use the graph on the right to calculate the slope and the intercept of the line. 1 2 3 4 5 Slope Intercept Use equations (6) in the lab manual to calculate...
A) Consider the following data points(1, 5)(2, 9)(3, 6)(4, 10)Use partial derivatives to obtain the formula for the best least-squares fit to the data points.y(x) = ????????
MATLAB code please Obtain a temperature data of Reno from September 2016. Find the data for a typical sunny day, between 6am to 6pm. Write a MATLAB code that uses linear least squares to fit the data. Then, obtain the same temperature data from the same day in year 2017. Plot the data points and the regression line on the same graph. Does the least-squares line fit the data from 2017? Why or why not? Discuss your result.
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 %...
Fit a linear function of the form f (t) = c0 +c1t to the data points (-4;22), (0;-3), (4;-34), using least squares. c0 =? c1=?
(1 point) Fit a trigonometric function of the form f(t) ,5), using least squares c1 sin(t) + c2 cos(t) to the data points (0, -1), (,7), (n, 5), co Co = C1 C2 (1 point) Fit a trigonometric function of the form f(t) ,5), using least squares c1 sin(t) + c2 cos(t) to the data points (0, -1), (,7), (n, 5), co Co = C1 C2
Linear Algebra Question 25. Suppose you are looking at data which is supposed to fit an exponential equation, i.e. a model of the form y= Cekz where C and k are constants. Suppose your data points are (2, 5), (3,8) and (4, 17). Use least-squares to find (decimal approximations to) the values of C and k which best fit this model How to proceed: First, take the natural log of both sides of the model to obtain what is called...
Question 10 1 pts Problem 10: Interpolation, least squares, and finite difference Consider the following data table: CON 2 = 0 0.2 0.4 0.6 f(t) = 2 2.018 2.104 2.306 If the Sum of the Squares of the errors for the linear least-squares fit for the above problem is computed as SSE = 8.579 x 10-3 and the sum of the squares of the deviation from their mean is computed as SS, = 0.059, then the R2 value for the...
Least Square Method Use the least squares method and find a linear fit for the following points: (0, -3), (2, -3), (1, -4), (4, 5) Quickly plot the points (by hand) and comment on the likely quality of the linear fit. Would another type of curve fit be better suited?