Managerial Economics Case Study
MANAGERIAL ECONOMICS
ECO 556
BM221 4c
“DEMAND FOR VE MICROWAVE OVEN”
TABLE OF CONTACT
1.0 INTRODUCTION
2.0 METHODOLOGY
3.0 DATA DEMAND FOR VE MICROWAVE OVEN
4.0 EQUATION
5.0 FINDINGS AND INTERPRETATION
5.1 Evaluation of Statically Significant At 95% Or Significant Level for Each Independent Variable.
5.2 Interpretation Coefficient of Determination
5.3 Interpretation of F-Test
5.4 Interpretation of Standard Error of Estimate
5.5 Derivation of Demand Curve
5.6 Elasticity of Demand
6.0 CONCLUSION
APPENDIX
REFERENCE
1.0 INTRODUCTION
VE Microwave Products Limited is engaged in designing and manufacturing of high value added Radio Frequency and microwave super components and sub systems findings application in Defense, Space, and Civil communication system.
2.0 METHODOLOGY
The major technique that we used in order to extract the data given is by using SPSS program which is by linear regression analysis. Regression analysis includes any techniques for modeling and analyzing several variables, when the focus is on the relationship between a dependent variable and one or more independent variables. More specifically, regression analysis helps one understand how the typical value of the dependent variable changes when any one of the independent variables is varied, while the other independent variables are held fixed. Most commonly, regression analysis estimates the conditional expectation of the dependent variable given the independent variables that is, the average value of the dependent variable when the independent variables are held fixed. In all cases, the estimation target is a function of the independent variables called the regression function. In regression analysis, it is also of interest to characterize the variation of the dependent variable around the regression function, which can be described by a probability distribution.
Regression analysis is also used to understand which among the independent variables are related to
ECO 556
BM221 4c
“DEMAND FOR VE MICROWAVE OVEN”
TABLE OF CONTACT
1.0 INTRODUCTION
2.0 METHODOLOGY
3.0 DATA DEMAND FOR VE MICROWAVE OVEN
4.0 EQUATION
5.0 FINDINGS AND INTERPRETATION
5.1 Evaluation of Statically Significant At 95% Or Significant Level for Each Independent Variable.
5.2 Interpretation Coefficient of Determination
5.3 Interpretation of F-Test
5.4 Interpretation of Standard Error of Estimate
5.5 Derivation of Demand Curve
5.6 Elasticity of Demand
6.0 CONCLUSION
APPENDIX
REFERENCE
1.0 INTRODUCTION
VE Microwave Products Limited is engaged in designing and manufacturing of high value added Radio Frequency and microwave super components and sub systems findings application in Defense, Space, and Civil communication system.
2.0 METHODOLOGY
The major technique that we used in order to extract the data given is by using SPSS program which is by linear regression analysis. Regression analysis includes any techniques for modeling and analyzing several variables, when the focus is on the relationship between a dependent variable and one or more independent variables. More specifically, regression analysis helps one understand how the typical value of the dependent variable changes when any one of the independent variables is varied, while the other independent variables are held fixed. Most commonly, regression analysis estimates the conditional expectation of the dependent variable given the independent variables that is, the average value of the dependent variable when the independent variables are held fixed. In all cases, the estimation target is a function of the independent variables called the regression function. In regression analysis, it is also of interest to characterize the variation of the dependent variable around the regression function, which can be described by a probability distribution.
Regression analysis is also used to understand which among the independent variables are related to