Already have an account? Get multiple benefits of using own account!
Login in your account..!
Remember me
Don't have an account? Create your account in less than a minutes,
Forgot password? how can I recover my password now!
Enter right registered email to receive password!
Q. Construction of an explanatory model?
Construction of a sample: To apply multiple regression a large sample is generally essential (ideally between 2,000 to 15,000 individuals).
Note that for time series data, much less is required.
Data collection: Reliable data should be collected, either from a monitoring system or from a questionnaire survey or from a combination of both.
Calculation of coefficients: Coefficients can be calculated comparatively easily, by using statistical software which is both accessible and affordable to PC users.
Test of the model: The model aims to explain as much of the variability of observed changes as possible. To check how useful a linear regression equation is, tests can be performed on the square of correlation coefficient r. This tells us what percentage of variability in the y variable can be explained by the x variable. A correlation coefficient of 0.9 would demonstrate that 81% of the variability in Y is captured by variables X1-k used in the equation. The part which remains unexplained represents the residue (ε). So the smaller the residue better is the quality of model and its adjustment. Analysis of residues is a very significant step: it's at this stage that one sees the degree to that the model has been adapted to phenomena one wants to explain. It is residue analysis which also enables one to tell whether the tool has made it possible to estimate effects in a reasonable way or not. If significant anomalies are detected, regression model must not be used to estimate effects and original causal model must be re-examined, to see if further predictive variables can be introduced.
Problems of prices and Incomes policy i. Confrontation The imposition of the prices and incomes policy, voluntary or statutory, risks the possibility of confrontation w
Let Consider an economy with three states. The following set of stocks is traded: x 1 =(2,2,0) x 2 =(1,0,3) x 3 =(0,2,4). The t=0 prices of these stocks are give
Why do the managers in marris model maximise their satisfaction by choosing a higher growth rate and a lower valuation ratio when compared to the profit maximisation
what is the importance of demand forecasting to managers
Question 1: a. Discuss the alternative theories of money demand. b. Highlight the impact of financial liberalization on the money demand in a small island developing econo
Q. Illustrate Fiscal Monopoly? Fiscal Monopoly: To stop exploitation of consumers andemployees, government nationalises many industries and obtains fiscal monopoly power ove
BUSINESS CYCLES Meaning: The business cycle is the tendency for output and employment to fluctuate around their long-term trends. The figure below presents a stylised
explain critically growth maximisation model of morris ?
Q 3. What is Demand Forecasting? Explain in brief various methods of forecasting demand.
Theory of consumer behavior
Get guaranteed satisfaction & time on delivery in every assignment order you paid with us! We ensure premium quality solution document along with free turntin report!
whatsapp: +91-977-207-8620
Phone: +91-977-207-8620
Email: [email protected]
All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd