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!
Multi-collinearity
Multiple regression analysis is based on the assumption that the independent variables are not correlated with each other, whenever the independent variables are highly correlated with each other then it is very difficult to isolate the effect of each one of these on the dependent variables. This occurs when there is a simultaneous movement of two or more independent variables in the same direction and almost at the same time. This condition is called multi-collinearity.
We can use the correlation matrix to determine whether 2 independent variables are highly correlated. If a correlation value of more than 0.8 exists between two independent variables, then the problem of multi-colinearity is bound to occur. Alternatively if the correlation coefficient between the two variables is greater than the multiple correlation coefficients, then multi-colinearity problem will occur. To remove the problem of multi-colinearlity, we drop one of the correlated variables. You can drop any of the variables.
Explain Current budgets Current budgets: the period of current begets is generally of months and weeks. These budget relate to the current activities of the business. According
Answer each of the following independent questions in the space provided on page 11. Round all computations to the nearest dollar. a) Company A deposited $15,000 in a savings ac
Standard error of estimate (Se) The coefficient of determination r 2 gives us an indication of the reliability of the estimate of total cost based on the regression equation b
Explains how activity –based techniques can be used to improve performance
Interest coverage ratio (or debt service ratio) Meaning: this ratio establishes a relationship among net profits before interest and taxes and interest on long debt. Obj
Disadvantages of Simulation 1) Although all models are simplification of reality, they may still be complex and require a substantial amount of managerial and technical time.
Identify the management assertions related to each of the fictitious supplier credits and unrecorded amounts in accounts payable using the facts presented
Independence of observations An important assumption for the simple linear regression model is the independence of errors. In many time series models, this assumption is violat
What does it mean when we say consistency is the central feature of economic rationality?
i want to get the answer for exercises 2.1 and 2.2 on strategic and tactical decisions
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