BME339-Spring2024-HW5

The subject is Engineering Data Analysis p.s please answer my question. Please thank you so much

Problem 1/MatlabGrader (20 points) (Core Course Outcome 4) Develop a Matlab function myFit Exam that finds the best fit of the function p(t) = a sin³ (t) +bsin² (t) + csin(t) +d (1) to a given set of data points (t., p.) using regression. Here t is in radians. The function input shall be t: column vector of data values t p: column vector of data values p The function output shall be a: scalar containing the best fit coefficient a b: scalar containing the best fit coefficient b c: scalar containing the best fit coefficient c d: scalar containing the best fit coefficient d In the function use only functions developed in this class in modules 1 - 4. You do not need to provide these functions in your submission. They will be provided when assessing your function after the deadline. Note: no assessments will be performed on your submitted function before the exam deadline. Scores on Canvas for this problem before the exam has been fully graded are meaningless. Required submission: well…

Develop a Matlab function myFitExam that finds the best fit of the function p(t) = a sin³ (t) +b sin² (t) + csin(t) + d (1) to a given set of data points (ti, pi) using regression. Here t is in radians. The function input shall be t: column vector of data values t ⚫ p: column vector of data values p The function output shall be • a: scalar containing the best fit coefficient a b: scalar containing the best fit coefficient b ⚫ c: scalar containing the best fit coefficient c d: scalar containing the best fit coefficient d In the function use only functions developed in this class in modules 1 - 4. You do not need to provide these functions in your submission. They will be provided when assessing your function after the deadline. Note: no assessments will be performed on your submitted function before the exam deadline. Scores on Canvas for this problem before the exam has been fully graded are meaningless.

Can you explain how to get the graphs and what the equations mean? I'm also confused for the fill in the blanks portion. Please and thank you!

computational methods - linear regression   do not use spreadsheet program to find answer.

SOLVE STEP BY STEP IN DIGITAL FORMAT

Q2: File Upload الزامي ABET äbäi 15 solve the question on a piece of [Q2] paper and upload it as ONE FILE here .{as an image or PDF only} Question 2 Use the least square regression to fit the data in the following table to the equation yfit = ae*. 1.5 2 y 1.6 3.7 7 13.5 24.6 1 2.5 (A) Determine the values of a and 3. (B) What is the standard error of this estimation? (C) Using the fit equation, what the value of y at r = 2.25? إضافة ملف

In your biomechanical testing lab, you perform a series of compression tests to determine the relationship between apparent bone density (p, units of g/cm³) and ultimate stress (ơult, units of MPa). Using the set of experimental measurements below, write an m-file to fit a power relationship of the form O uli = Ap to the data. Use the log transform method to linearize the system and data, followed by linear regression. Plot the data points and the power relationship on a single plot. Be sure to label your axes and provide a legend. Provide a printout of your m-file and a printout of the command window showing your results. Write down the best fit equation and box it. 8.76 5.25 4.26 5.51 3.88 18.45 2.09 13.72 5.42 2.17 Oult (MPa) p (g/cm³) 0.598 | 0.459 0.319 | 0.235 0.141 0.754 0.177 0.553 0.394 0.246

The change of SO, concentration with time is shown in Table 1. t(s) [C] 0 1.000000 100 0.778801 200 0.606531 300 0.472367 400 0.367879 500 0.286505 600 0.223130 800 0.135335 1000 0.082085 1200 0.049787 The process is governed by the rate law given by the equation: In (SO), -k+In (SO), Where k is the rate constant and is the time, and In is natural logarithm. By calculating the corresponding values of In [SO,] and plotting the graph of In [SO,] against time, 1, determine the rate constant k of the reaction.

Projects A and B are mutually exclusive. The minimum attractive rate of return (MARR) is 12%. Using rate of return analysis, which project should be selected? If the image fails to load here, go to https://www.dropbox.com/s/ld6wctqieu8jgwp/ROR.jpg Year 0 1 2 3 4 ROR A - $750 $200 $200 $200 $600 17.68% B - $1,150 $300 $350 $400 $700 16.44% O Project A O Project B O Both Project A and B O Select none of the project. O Insufficient information to make a decision. B-A - $400 $100 $150 $200 $100 13.69%

What's the correlation coefficient of the following data set? x = [-3 3 4 2 1 1 4 5] and y = [-3 2 8 -2 0 3 7 8] Type your answer...

The number of cases of merlot wine sold by the Connor Owen winery in an eight-year period is as follows: CASES OF YEAR MERLOT WINE 1 268 2 351 3 393 4 451 5 353 6 495 7 405 8 371 Using an exponential smoothing model with an alpha value of 0.10, estimate the smoothed value calculated as of the end of year 8. Use the average demand for years 1 through 3 as your initial forecast for year 4, and then smooth the forecast forward to year 8. (Round your intermediate calculations and final answer to the nearest whole number.) Forecast for 8 %

1) Graph 1: plot t on the abscissa versus y on the ordinate and (artistically) draw a smooth line through the points. The line need not actually go through each data point.   2) Graph 2: plot t^2 on the abscissa versus y on the ordinate and then perform a linear regression. Remember to plot both the raw data points and the line of best fit (with the two points used to draw it); also show the regression equation and r value on the graph.   3) On graph (1), what does the slope of the line tell you about the velocity of the ball? Be thorough!   4) On graph 2: a) What does the slope of the line tell you about the acceleration of the ball? Be thorough! b) Calculate g from the freefall data and the % error (in comparison to 9.81 m/s^2) using the results from the linear regression calculation. c) What do the values of the y-intercept and correlation coefficient (r) tell you?

In matlab code

Please Please use MATLAB with codes and graph. Recreate the following four Figures of the textbook using MATLAB and the appropriate parameters. Comment on your observations for each Figure. List all of the parameters that you have used. The figure is attached below.

Solve only Qd

The actual sales of car manufacturer in January is 120 units but the car manufacturer underestimated the sales of car by 20 units. If the manufacturer uses exponential smoothing method with a smoothing constant of alpha = 0.2 then what is the sales forecast for the month of February of the same year?

An engineer measures the diameter of 20 tubes selected at random from a large shipment. The sample mean is 48.5 mm and S- 9.4 mm. The manufacturer of the tubes claims that 2 = 42.1 mm. Is this claim supported by data set? for 90% probability? where a' is the true or the estimate value O No O yes

Statistical Inference

please show work answer is D