Question

Spose mans runs a quadratic regression of Y on X and gets this estimated regression function...

Spose mans runs a quadratic regression of Y on X and gets this estimated regression function

YHAT = 2.99 - 0.982X + 0.052X2

whats the predicted partial effect on Y from changing X from 4 to 8?

Math   Statistics-And-Probability   
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
In the simple linear regression model estimate Y = b0 + b1X A. Y - estimated...
In the simple linear regression model estimate Y = b0 + b1X A. Y - estimated average predicted value, X – predictor, Y-intercept (b1), slope (b0) B. Y - estimated average predicted value, X – predictor, Y-intercept (b0), slope (b1) C. X - estimated average predicted value, Y – predictor, Y-intercept (b1), slope (b0) D. X - estimated average predicted value, Y – predictor, Y-intercept (b0), slope (b1) The slope (b1) represents A. the estimated average change in Y per...
Find the quadratic function that is the best fit for​ f(x) defined by the table below....
Find the quadratic function that is the best fit for​ f(x) defined by the table below. x 0 2 4 6 8 10 ​f(x) 0 401 1598 3602 6391 9990 The quadratic function is y equals = nothing . ​(Type an equation using x as the variable. Round to two decimal places as​ needed.)
find the minimum and Max value of quadratic function y=x^2-3x+5
find the minimum and Max value of quadratic function y=x^2-3x+5
Exhibit 6 The following information regarding a dependent variable (Y) and an independent variable (X) is...
Exhibit 6 The following information regarding a dependent variable (Y) and an independent variable (X) is provided. Y X 4 2 6 3 8 4 8 5 11 6 Also given are SSE=1.6 and SST=27.2. a. Refer to Exhibit 6. What is the least squares estimated regression equation? A. Yhat = 1 + 1.6X B. Yhat = 2 + 3.2X C. Yhat = 1.6 + 27.2X D. Yhat = 27.2 + 4.6X b. Refer to Exhibit 6. What is the...
Consider the quadratic function f, given by f(x) = −x2 + 6x−8. (i) Determine if the...
Consider the quadratic function f, given by f(x) = −x2 + 6x−8. (i) Determine if the graph of y = −x2 + 6x − 8 is concave up or concave down, providing a justification with your answer. (ii) Re-write the equation of the quadratic function f, given by f(x) = −x2 +6x−8, in the standard form f(x) = a(x−h)2+k by completing the square. Hence determine the vertex of the graph of y = f(x). (iii) Identify the x-intercepts and y-intercept...
House price y is estimated as a function of the square footage of a house x;...
House price y is estimated as a function of the square footage of a house x; a dummy variable d that equals 1 if the house has ocean views and 0 otherwise; and the interaction variable xd. The estimated house price, measured in $1,000s, is given by yˆy^ = 80 + 0.12x + 40d + 0.01xd. a. Compute the predicted price of a house with ocean views and square footage of 2,000 and 3,000, respectively. (Enter your answers in thousands.)...
part 1) Find the partial derivatives of the function f(x,y)=xsin(7x^6y): fx(x,y)= fy(x,y)= part 2) Find the...
part 1) Find the partial derivatives of the function f(x,y)=xsin(7x^6y): fx(x,y)= fy(x,y)= part 2) Find the partial derivatives of the function f(x,y)=x^6y^6/x^2+y^2 fx(x,y)= fy(x,y)= part 3) Find all first- and second-order partial derivatives of the function f(x,y)=2x^2y^2−2x^2+5y fx(x,y)= fy(x,y)= fxx(x,y)= fxy(x,y)= fyy(x,y)= part 4) Find all first- and second-order partial derivatives of the function f(x,y)=9ye^(3x) fx(x,y)= fy(x,y)= fxx(x,y)= fxy(x,y)= fyy(x,y)= part 5) For the function given below, find the numbers (x,y) such that fx(x,y)=0 and fy(x,y)=0 f(x,y)=6x^2+23y^2+23xy+4x−2 Answer: x= and...
Can Y =5+2.8X and X=3-0.5Y be the estimated regression equation of Y and X respectively? Explain...
Can Y =5+2.8X and X=3-0.5Y be the estimated regression equation of Y and X respectively? Explain your answer with suitable theoretical arguments
House price y is estimated as a function of the square footage of a house x...
House price y is estimated as a function of the square footage of a house x and a dummy variable d that equals 1 if the house has ocean views. The estimated house price, measured in $1,000s, is given by yˆ = 118.90 + 0.12x + 52.60d. a-1. Compute the predicted price (in $1,000s) of a house with ocean views and square footage of 2,000. (Round intermediate calculations to at least 4 decimal places. Round your answer to 2 decimal...
Using data from 50 workers, a labour economist runs a multiple regression of Y (hourly wage...
Using data from 50 workers, a labour economist runs a multiple regression of Y (hourly wage in $) on X1 (years of education), X2 (gender) and X3 (an interaction between X1 and X2), and obtains the following regression results. Coefficients Standard error Intercept -16.78 2.14 Years of education 2.77 0.16 Gender (coded 1 for female and 0 for male) 8.84 3.01 Interaction between years of education and gender -1.02 0.22 Based on the above information, the estimated effect of X1...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT