0
Still curious? Ask our experts.
Chat with our AI personalities
Ross
Coach
JudyAdd your answer:
Earn +20 pts
What are the problems of time series analysis?
in this analysis is not static if we want analys rainy season disease may be come or not an another major problem is the same example as above if research is not finish we wait for till next season
What is mathematical method of analysis?
Analysis is the branch of mathematics dealing with limits and related theories, such as differentiation, integration, measure, infinite series and analysis functions.
What are some disadvantages of 360 degree feedback?
Three-hundred-sixty degree feedback has several disadvantages. Some of the disadvantages of three-hundred-sixty degree feedback are that it is costly and time-consuming.
How can correlation and regression analysis be used to make strategic decisions in a dynamic competitive business environment filled with risk and uncertainty.?
Correlation and regression analysis can help business to investigate the determinants of key variables such as their sales. Variations in a companies sales are likely to be related to variation in product prices,consumers,incomes,tastes and preference's multiple regression analysis can be used to investigate the nature of this relationship and correlation analysis can be used to test the goodness of fit. Regression can also be used to estimate the trend in a time series to make forecast
What quantitative techniques are applied for business analysis?
A. Quantitative Techniques with reference to time series analysis in business expansion. B. Quantitative techniques are mathematical and reproducible. Regression analysis is an example of one such technique. Statistical analysis is also an example of a quantitative technique. C. Quantitative techniques are applied for business analysis to optimize decision making IE profit maximization and cost minimization). It covers linear programming models and other special algorithms, inventory and production models; decision making process under certainty, uncertainty and risk; decision tree construction and analysis; network models; PERT and CPA business forecasting models; and computer application.
