Question

For the Declining growth and Logistic models, (a) starting with the model solution, derive the linear...

For the Declining growth and Logistic models, (a) starting with the model solution, derive the linear model. (b) What equation would you use to calculate the constants in the models based on the slope and y intercepts in the models?

Engineering   Civil-Engineering   
0 0
Add a commentTranscribed image text
Next >

Homework Answers

Answer #1

0 0
Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Log In

Sign Up

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Logistic Equation The logistic differential equation y′=y(1−y) appears often in problems such as population modeling. (a)...
Logistic Equation The logistic differential equation y′=y(1−y) appears often in problems such as population modeling. (a) Graph the slope field of the differential equation between y= 0 and y= 1. Does the slope depend on t? (b) Suppose f is a solution to the initial value problem with f(0) = 1/2. Using the slope field, what can we say about fast→∞? What can we say about fast→−∞? (c) Verify that f(t) =11 +e−tis a solution to the initial value problem...
Suppose that your linear regression model includes a constant term, so that in the linear regression...
Suppose that your linear regression model includes a constant term, so that in the linear regression model Y = Xβ + ε The matrix of explanatory variables X can be partitioned as follows: X = [i X1]. The OLS estimator of β can thus be partitioned accordingly into b’ = [b0 b1’], where b0 is the OLS estimator of the constant term and b1 is the OLS estimator of the slope coefficients. a) Use partitioned regression to derive formulas for...
I have a question about general linear models. My current model is set up as such:...
I have a question about general linear models. My current model is set up as such: y=??+?1∗??h???+?2∗ⅹ+?3 ∗??h???∗ⅹ B is the change from the intercept Y= is the predicted metabolite value β0 = Is the mean of metabolites for control ( or the intercept). B= 2.402 β1 *(cohort) = the mean of the metabolite value without the inflammatory marker for subjects this is from the control, B=.353 X= total inflammation β2 *x= the slope of control when inflammation is added....
1. Use the x- and y- intercepts to graph each linear equation.(Do not use graph paper)...
1. Use the x- and y- intercepts to graph each linear equation.(Do not use graph paper) a) 2x-5y=10 b) 3x=2y+6 2. Calculate the slope of the line passing through the given points. If the slope is undefined, so state, Then indicate whether the line rises, falls, is horizontal or is vertical. a) (4,2) and (3,4) b) (-1,3) and (2,4)
QUESTION 21 A linear model is found to be y = 3.5x + 6. At a...
QUESTION 21 A linear model is found to be y = 3.5x + 6. At a value of x = 4, the equation yields y = 20. However, the actual data value for x =4 is found to be y = 22.3. The residual at x = 20 is a. 3.5 b. 6 c. 20 d. 22.3 e. 2.3 QUESTION 22 A regression equation is found to be y=2x+10. The prediction for the dependent variable when the independent variable is...
1. Assume that a linear model might capture the relationship between these variables. Estimate the parameters...
1. Assume that a linear model might capture the relationship between these variables. Estimate the parameters of a linear model for these data. Here are a few building blocks to help you: Mx= 1.87, SDx= 0.82; My= 15.55, SDy= 12.86; rxy= 0.55. 2. Given the parameters you calculated for this model, how well does the model capture the data (i.e. Calculate R2[Show all your work], what does it indicate)? 3. Imagine someone else proposed an alternative model with the form:...
find an econometrical solution of this problem using the linear regression model There are data on...
find an econometrical solution of this problem using the linear regression model There are data on average output per worker y (thousand dollars) and turnover x (thousand dollars) in 10 stores for the quarter. Based on the above data, it is required: 1) determine the dependence (correlation coefficient) of average output per worker on turnover, 2) make a direct regression equation for this dependence. 1 2 3 4 5 6 7 8 9 10 x 10 14 21 23 32...
Two simple (i.e, one x variable) linear regression models are fit. Model A, using variable x1...
Two simple (i.e, one x variable) linear regression models are fit. Model A, using variable x1 only, has an R2 of 0.23. Model B, using variable x2 only, has an R2 of 0.57. What will the R2 value be for Model C, which uses both x1 and x2? Cannot be determined without knowing the correlation between x1 and x2. It will be some value less than 0. It will equal 0.34 It will equal 0.80. We cannot say without knowing...
1. A population grows according to an exponential growth model. The initial population is P0=12, and...
1. A population grows according to an exponential growth model. The initial population is P0=12, and the common ratio is r=1.45 Then: P1 = P2 = Find an explicit formula for Pn. Your formula should involve n. Pn =    Use your formula to find P9 P9= Give all answers accurate to at least one decimal place 2. Assume there is a certain population of fish in a pond whose growth is described by the logistic equation. It is estimated that...
Based on the definition of the linear regression model in its matrix form, i.e., y=Xβ+ε, the...
Based on the definition of the linear regression model in its matrix form, i.e., y=Xβ+ε, the assumption that ε~N(0,σ2I), and the general formula for the point estimators for the parameters of the model (b=XTX-1XTy); show: how to derivate the formula for the point estimators for the parameters of the models by means of the Least Square Estimation (LSE). [Hint: you must minimize ete] that the LSE estimator, i.e., b=XTX-1XTy, is unbiased. [Hint: E[b]=β]
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT