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What is the difference between time series and regression analysis?
A time series is a sequence of data points, measured typically at successive points in time spaced at uniformed time intervals. Time series analysis comprises methods for analyzing time series data in order to extract meaningful statistics. Regression analysis is a statistical process for estimating the relationship among variables.
Time Series Analysis Advantages and Disadvantages?
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What are the advantages and disadvantages of time series analysis?
The advantage of time series analysis is that it is a very effective method of forecasting because it makes use of the seasoned patterns. The disadvantage is that it is costly because the forecasts are based on the historical data patterns that are used to predict the future market behavior.
What are Types of series in statistics?
The main types of series are time series.
What is the importance of correlation and regression analysis in business decision making?
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
