Answer:
SIMPLE MOVING AVERAGE (ADVANTAGE)
It is easy to use and understand
It can be used to create a smooth line and a visible trend
SIMPLE MOVING AVERAGE (DISADVANTAGE)
It is not suitable for complex or ambiguous data
it is vulnerable to seasonal error
REGRESSION ANALYSIS (ADVANTAGE)
It is simple to use and easily applied in solving problems
REGRESSION ANALYSIS (DISADVANTAGE)
It is limited to the linear relationship, as it is unable to provide accurate result for more than one variable
WEIGHTED SIMPLE MOVING AVERAGE (ADVANTAGE)
It uses exponential method to validate the effect of past data, which makes it a more accurate in measurements.
WEIGHTED SIMPLE MOVING AVERAGE (DISADVANTAGE)
It sometimes difficult to use the weighted simple moving average to project trends.
LINEAR MULTIPLE REGRESSION ANALYSIS (ADVANTAGE)
It shows relationship between independent and dependent variable.
It is easy to use for decision making and solving problems
LINEAR MULTIPLE REGRESSION ANALYSIS (DISADVANTAGE)
It is time consuming and complex to use.
LINEAR MULTIPLE REGRESSION ANALYSIS is best for sales forecast, as it is easy to use for decision making and solving business problems
Explanation:
SIMPLE MOVING AVERAGE (ADVANTAGE)
It is easy to use and understand
It can be used to create a smooth line and a visible trend
SIMPLE MOVING AVERAGE (DISADVANTAGE)
It is not suitable for complex or ambiguous data
it is vulnerable to seasonal error
REGRESSION ANALYSIS (ADVANTAGE)
It is simple to use and easily applied in solving problems
REGRESSION ANALYSIS (DISADVANTAGE)
It is limited to the linear relationship, as it is unable to provide accurate result for more than one variable
WEIGHTED SIMPLE MOVING AVERAGE (ADVANTAGE)
It uses exponential method to validate the effect of past data, which makes it a more accurate in measurements.
WEIGHTED SIMPLE MOVING AVERAGE (DISADVANTAGE)
It sometimes difficult to use the weighted simple moving average to project trends.
LINEAR MULTIPLE REGRESSION ANALYSIS (ADVANTAGE)
It shows relationship between independent and dependent variable.
It is easy to use for decision making and solving problems
LINEAR MULTIPLE REGRESSION ANALYSIS (DISADVANTAGE)
It is time consuming and complex to use.
LINEAR MULTIPLE REGRESSION ANALYSIS is best for sales forecast, as it is easy to use for decision making and solving business problems
