Homework Answers
Table:
| y | x | (y/x) | z=log(y/x) | xz | x^2 |
| 0.75 | 0.1 | 7.5 | 2.014903021 | 0.20149 | 0.01 |
| 1.25 | 0.2 | 6.25 | 1.832581464 | 0.366516 | 0.04 |
| 1.45 | 0.4 | 3.625 | 1.287854288 | 0.515142 | 0.16 |
| 1.25 | 0.6 | 2.083333 | 0.733969175 | 0.440382 | 0.36 |
| 0.85 | 0.9 | 0.944444 | -0.057158414 | -0.05144 | 0.81 |
| 0.55 | 1.3 | 0.423077 | -0.860201265 | -1.11826 | 1.69 |
| 0.35 | 1.5 | 0.233333 | -1.455287233 | -2.18293 | 2.25 |
| 0.28 | 1.7 | 0.164706 | -1.803593927 | -3.06611 | 2.89 |
| 0.18 | 1.8 | 0.1 | -2.302585093 | -4.14465 | 3.24 |
| Total | 8.5 | -0.609517984 | -9.03987 | 11.45 | |
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An investigator has reported the data tabulated below. * y 1 0. 5 2 3 2.9 4 3.5 5 4 2 It is known that such data can be modeled by the following equation where aand bare parameters. Using nonlinear regression, determine a and b. Based on your analysis predict xat y= 2.6. (Round the final answer to four decimal places.) The value of ois and bis The predicted value of xat y = 2.6 is Solve by hand solve...
Can you make matlab solve it?
2. An investigator has reported the data tabulated below for an experiment to determine the growth rate of bacteria k (per day) as a function of ox ygen concentration c (mg/L). It is known that such data can be modeled by the following equation: Where es and kmax are parameters 0.5 1.1 0.8 2.5 1.5 5.3 2.5 7.6 8.9 a) Use a transformation to linearize this equation. b) Then write a function m file...
5) It is known that radioactive decay of a substance can be modeled as N = Noe"t/t, where No is the amount of substance N at time-0, and r is the mean lifetime of a radioactive particle before decay In le')= a) Linearize this equation. (4 points) N Ne ( b) Given the data in the table, perform the linear regression to the equation you wrote in part a). Show your work to receive full credit. (16 points) 2 h....
use the linearize model to estimate k and C0 based on the
following data using matlab
Required information Linear regression provides a powerful technique for fitting a best line to data. The below figure shows the transformations can be used to express the data in a form that is compatible with linear regression. Apart from the given figure, there are other models that can be linearized using transformations. For example, the following model applies to third-order chemical reactions in batch...
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Problem 2. The arch in Saint Louis can be modeled as a parabola with the equation given on the picture below and a horizontal stretch from x=-315 to x = 315. Find the average height of the arch above the ground. = 63001 - 615)) 700 500+ 400+ 100+ 6300 200 630 100 -100 -100 100 200
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2. This week, we studied the test score Y versus number of hours, X, spent on test preparation, of a student in a French class of 10 students with the collected results shown below Number of hours studied Test score 31 10 14 73 37 12 60 91 21 84 17 (a) Use linear normal regression analysis method or the least-squares approximation method to predict the average test score of a student who studied 12 hours for the test (b)...
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In a study to determine if response time, y, could be modeled as a linear function of the temperature, a process was run at each of four temperatures three times, a total of twelve pairs of observations. The two AOV tables shown below are (I) for fitting y as a simple linear function of x, and (II) for AOV using the values of x to define the "treatments." Analysis of Regression Sum of Mean Source DF Squares Square Regression 290.40000...
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