Regression StatisticsMultiple R0.99R Square0.98Adjusted R Square0.97Standard Error2.52Observations35Coefficients Standard Errort StatP-value Lower 95% Upper 95%Intercept131.9217.767.430.0097.11166.73Price of Good-7.461.18-6.340.00-9.86-5.06Price of RelatedGood10.240.9710.600.008.2712.21Income0.300.103.000.010.100.50The demand for your product demands on three factors; the price of your good, the price of arelated good, and the average income of your customers. Excel estimated the above lineardemand for your product.Refer to the table above. If the price of your good is $10, the price of the related good is $18, andthe average income of consumers is $33,000, the predicted demand for your product isSelect one:O A. 5,892.22OB. 10,141.64

Step 1: In this case, the independent variables are, the price of good, the price of the related…

Answered: Regression Statistics Multiple R 0.99 R…

Managerial Economics: Applications, Strategies and Tactics (MindTap Course List)

14th Edition

ISBN:9781305506381

Author:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris

Publisher:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris

Chapter4A: Problems In Applying The Linear Regression Model

Section: Chapter Questions

Problem 5E

See similar textbooks

Similar questions

Avg. Rate of Change of f over [5,5+ h] h Avg. Rate of 8 4.3 4.03 4.003 4.0003 -1 -0.1 -0.01 -0.001 -0.0001 Change of f over 2 3.7 3.97 3.997 3.9997 [5 + h, 5] Estimate f'(5). f'(5) = Need Help? Read It
KSU Products has just carried out a survey of the demand fortheir guidebooks to spoken Arabic. They have found thefollowing results over the last six months.Sales revenue 356 398 372 360 365 350Price ($) 4.5 4.0 4.2 4.5 4.3 4.8a. Estimate an appropriate demand relationship; Q=aPb.b. Make a forecast of sales revenue for a price of $5, statingany assumptions.c. Estimate the price elasticity of demand for the data as a whole.d. If price is raised 10 per cent in general terms, what willhappen to revenue?
Am. 406.
asnwer for 2.
Hhe paypil prbeluces. Drive the first orler Condition of Maximization for lutemediate gad with respect to Pel) Peti -MCtti
Shack Homebuilders Limited is evaluating a new promotional campaign that could increase home sales. Possible outcomes and probabilities of the outcomes are shown next. Possible Outcomes Ineffective campaign Normal response Extremely effective Additional Sales in Coefficient of variation Units 50 70 130 Probabilities 0.40 0.30 0.30 Compute the coefficient of variation. Note: Do not round intermediate calculations. Round your answer to 3 decimal places.
1- the locus of conditional means of Y fort he fixed values of X is the. Please select one; a) intercept line b) linear regression line c) population regression line d) conditional expectation function m
Plz provide correct answer.previus answer is incorrect.plzz use data given in question beside as you need .thank you
What is the difference between an unbiased estimator and a consistentestimator?
Fiting a straight ine to a set of data yields the following predicion line. Complete (a) through (e) below a. Interpret the meaning of the Yintercept, Choose the correct anower below O A. The Yintercept, be =4, imples that the average value of Yis 4. OB. The Yintercept, b7, implies that when the value of Xs0, the mean value of Yis 7 OC. The Yantercept, by4, implies that tor each increase of 1 unt in X, the value ofYa expected to increase by 4 unts •D. The Yintercept, 4, implies that when the value of Xis 0, the mean value of Y is 4 b. Interpret the meaning of the slope, b Choose the comect answer below OA The slope, by4, implies that for each increase of 1 unit in X, the value of Yis expected to increase by 4 units OB. The slope, by =7, implies that the average value of Y is 7. O C. The slope, b,=7, imples that for each increase of 1 unit in X, the value of Y is expected to increase by 7 units %3D OD. The slope, b,7, implies that for each increase of 1 unit in X, the value of Yis…
Ef 540.
5. Among important factors that affecting the price of land lot are size, number of mature trees and distance to the lake. Using data for 60 recently sold land lots are shown below: B 1 SUMMARY OUTPUT 2 3. Regression Statistics 4 Multiple R 5 R Square 6 Adjusted R Square 7 Standard Error 0.4924 0.2425 0.2019 40.24 8 Observations 60 9. 10 ANOVA Significance F 5.97 11 df S MS 9676.6 0.0013 12 Regression 13 Residual 3 29,030 90,694 56 1619.5 14 Total 59 119,724 15 16 Coefficients Standard Error t Stat P-value 0.0331 0.2156 17 Intercept 51.39 23.52 2.19 18 Lot size 0.700 0.559 1.25 19 Trees 0.679 0.229 2.96 0.0045 20 Distance -0.378 0.195 -1.94 0.0577 a) Write the regression equation b) What is the standard error of estimate? Interpret its value. c) What is the coefficient of determination? Interpret its value. d) What is the adjusted coefficient of determination? Interpret its value. e) Test the validity of the model. f) Interpret each of the coefficients. g) Test at 5% level of…

SEE MORE QUESTIONS

Recommended textbooks for you

Managerial Economics: Applications, Strategies an…

Economics

ISBN:

9781305506381

Author:

James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris

Publisher:

Cengage Learning