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1 Outcome
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2 Overview
Outcome
}By the end of this session you should beable to:
ØEstablish a linear function using regression analysis and interpret the results
ØExplain, calculate and interpret correlation coefficient and coefficient of determination
ØUse linear regression coefficients to make forecasts of costs and revenues
ØExplain the advantages and disadvantages of linear regression analysis
ØDescribe the product life cycles and explain its importance in forecasting
ØExplain the principles of time series analysis (cyclical, trend, seasonal variation and random elements)
ØCalculate moving averages
ØCalculation of trend, including the useof regression coefficients
ØUse trend and season variation (additiveand multiplicative) to make budget forecasts
ØExplain the advantages and disadvantages of time series analysis
ØExplain the purpose of index numbers
ØCalculate simple index numbers for one or more variables
ØAdjust historical and forecast data for price movements.
}and answer questions relating to theseareas.


