Question: Describe the underpinning theory/model.

Consumer Behaviour Question

Regression Analysis Model R R Square Adjusted R Square Std. Error of estimate 1 .387 .150 .085 .82741 In the mention table of ANOVA its clear that the model is significant the reason is that the value is less than 0.05 which shows the significant of the statistical model. So there is relationship between dependent and independent variables. Our dependent variable is consumer is buying behavior. ANOVA Df Model Sum of squares Mean square F Sig. Regression 11.126 1.589 1 Residual 62.984 .685 Total 74.110 Standardized Coefficients Beta Model summary Model 7 2.322 92 99 Coefficients Unstandardized t coefficients B Std. Error (constant) 1.250 .936 1.335 .185 Packaging color .000 .130 .000 .001 .999 Packaging .255 .109 .233 2.342 .021 material Font style .005 .094 .005 .052 .959 Design of wrapper .167 .100 .164 1.676 .097 Printed .108 .119 .090 .908 .366 information Innovation .116 .124 .098 .935 .352 Background image .140 .101 .149 1.393 .167 Our dependent variable is consumer buying behavior. Regression equation: Y=A+Bx1+Cx2+Dx3+Ex4+Fx5+Gx6+Hx7 Sa+ B1(PC) + 32(PM) + B3(FS) + B4(DOR) + B5(PI) +36(INV) + 37(BI) 1.250+.000PC+.255PM+.005FS+.167DOR+.108PI+.116INV+.140BI The above show that there is only one independent variable that is packing material have significant relation with the dependent variable and all others independent variable have insignificant relationship with dependent variable. Conclusion The finding of our research packaging role and its influence on consumer buying behavior shows the following results. From my research study I find out that packaging are the important elements which highly influence the consumer buying behavior. Packaging describe information about product like where it was made, when it was made, what it contains, and how it to use etc. Our research discovered that the package elements are the most important factor to influence the consumer's purchase decision. Producer used printed information in packaging as a promotion of the product as compare to used highly expensive advertisement. .032b Sig. Regression Analysis Model R R Square Adjusted R Square Std. Error of estimate 1 .387 .150 .085 .82741 In the mention table of ANOVA its clear that the model is significant the reason is that the value is less than 0.05 which shows the significant of the statistical model. So there is relationship between dependent and independent variables. Our dependent variable is consumer is buying behavior. ANOVA Df Model Sum of squares Mean square F Sig. Regression 11.126 1.589 1 Residual 62.984 .685 Total 74.110 Standardized Coefficients Beta Model summary 7 2.322 92 99 Coefficients Unstandardized t coefficients B Std. Error (constant) 1.250 .936 1.335 .185 Packaging color .000 .130 .000 .001 .999 Packaging .255 .109 .233 2.342 .021 material Font style .005 .094 .005 .052 .959 Design of wrapper .167 .100 .164 1.676 .097 Printed .108 .119 .090 .908 .366 information Innovation .116 .124 .098 .935 .352 Background image .140 .101 .149 1.393 .167 Our dependent variable is consumer buying behavior. Regression equation: Y=A+Bx1+Cx2+Dx3+Ex4+Fx5+Gx6+Hx7 Sa+ B1(PC) + 32(PM) + B3(FS) + B4(DOR) + B5(PI) +36(INV) + 37(BI) 1.250+.000PC+.255PM+.005FS+.167DOR+.108PI+.116INV+.140BI The above show that there is only one independent variable that is packing material have significant relation with the dependent variable and all others independent variable have insignificant relationship with dependent variable. Conclusion The finding of our research packaging role and its influence on consumer buying behavior shows the following results. From my research study I find out that packaging are the important elements which highly influence the consumer buying behavior. Packaging describe information about product like where it was made, when it was made, what it contains, and how it to use etc. Our research discovered that the package elements are the most important factor to influence the consumer's purchase decision. Producer used printed information in packaging as a promotion of the product as compare to used highly expensive advertisement. Model .032b Sig. Regression Analysis Model R R Square Adjusted R Square Std. Error of estimate 1 .387 .150 .085 .82741 In the mention table of ANOVA its clear that the model is significant the reason is that the value is less than 0.05 which shows the significant of the statistical model. So there is relationship between dependent and independent variables. Our dependent variable is consumer is buying behavior. ANOVA Df Model Sum of squares Mean square F Sig. Regression 11.126 1.589 1 Residual 62.984 .685 Total 74.110 Standardized Coefficients Beta Model summary 7 2.322 92 99 Coefficients Unstandardized t coefficients B Std. Error (constant) 1.250 .936 1.335 .185 Packaging color .000 .130 .000 .001 .999 Packaging .255 .109 .233 2.342 .021 material Font style .005 .094 .005 .052 .959 Design of wrapper .167 .100 .164 1.676 .097 Printed .108 .119 .090 .908 .366 information Innovation .116 .124 .098 .935 .352 Background image .140 .101 .149 1.393 .167 Our dependent variable is consumer buying behavior. Regression equation: Y=A+Bx1+Cx2+Dx3+Ex4+Fx5+Gx6+Hx7 Sa+ B1(PC) + 32(PM) + B3(FS) + B4(DOR) + B5(PI) +36(INV) + 37(BI) 1.250+.000PC+.255PM+.005FS+.167DOR+.108PI+.116INV+.140BI The above show that there is only one independent variable that is packing material have significant relation with the dependent variable and all others independent variable have insignificant relationship with dependent variable. Conclusion The finding of our research packaging role and its influence on consumer buying behavior shows the following results. From my research study I find out that packaging are the important elements which highly influence the consumer buying behavior. Packaging describe information about product like where it was made, when it was made, what it contains, and how it to use etc. Our research discovered that the package elements are the most important factor to influence the consumer's purchase decision. Producer used printed information in packaging as a promotion of the product as compare to used highly expensive advertisement. Model .032b Sig. Regression Analysis Model R R Square Adjusted R Square Std. Error of estimate 1 .387 .150 .085 .82741 In the mention table of ANOVA its clear that the model is significant the reason is that the value is less than 0.05 which shows the significant of the statistical model. So there is relationship between dependent and independent variables. Our dependent variable is consumer is buying behavior. ANOVA Df Model Sum of squares Mean square F Sig. Regression 11.126 1.589 1 Residual 62.984 .685 Total 74.110 Standardized Coefficients Beta Model summary 7 2.322 92 99 Coefficients Unstandardized t coefficients B Std. Error (constant) 1.250 .936 1.335 .185 Packaging color .000 .130 .000 .001 .999 Packaging .255 .109 .233 2.342 .021 material Font style .005 .094 .005 .052 .959 Design of wrapper .167 .100 .164 1.676 .097 Printed .108 .119 .090 .908 .366 information Innovation .116 .124 .098 .935 .352 Background image .140 .101 .149 1.393 .167 Our dependent variable is consumer buying behavior. Regression equation: Y=A+Bx1+Cx2+Dx3+Ex4+Fx5+Gx6+Hx7 Sa+ B1(PC) + 32(PM) + B3(FS) + B4(DOR) + B5(PI) +36(INV) + 37(BI) 1.250+.000PC+.255PM+.005FS+.167DOR+.108PI+.116INV+.140BI The above show that there is only one independent variable that is packing material have significant relation with the dependent variable and all others independent variable have insignificant relationship with dependent variable. Conclusion The finding of our research packaging role and its influence on consumer buying behavior shows the following results. From my research study I find out that packaging are the important elements which highly influence the consumer buying behavior. Packaging describe information about product like where it was made, when it was made, what it contains, and how it to use etc. Our research discovered that the package elements are the most important factor to influence the consumer's purchase decision. Producer used printed information in packaging as a promotion of the product as compare to used highly expensive advertisement. Model .032b Sig. Regression Analysis Model R R Square Adjusted R Square Std. Error of estimate 1 .387 .150 .085 .82741 In the mention table of ANOVA its clear that the model is significant the reason is that the value is less than 0.05 which shows the significant of the statistical model. So there is relationship between dependent and independent variables. Our dependent variable is consumer is buying behavior. ANOVA Df Model Sum of squares Mean square F Sig. Regression 11.126 1.589 1 Residual 62.984 .685 Total 74.110 Standardized Coefficients Beta Model summary 7 2.322 92 99 Coefficients Unstandardized t coefficients B Std. Error (constant) 1.250 .936 1.335 .185 Packaging color .000 .130 .000 .001 .999 Packaging .255 .109 .233 2.342 .021 material Font style .005 .094 .005 .052 .959 Design of wrapper .167 .100 .164 1.676 .097 Printed .108 .119 .090 .908 .366 information Innovation .116 .124 .098 .935 .352 Background image .140 .101 .149 1.393 .167 Our dependent variable is consumer buying behavior. Regression equation: Y=A+Bx1+Cx2+Dx3+Ex4+Fx5+Gx6+Hx7 Sa+ B1(PC) + 32(PM) + B3(FS) + B4(DOR) + B5(PI) +36(INV) + 37(BI) 1.250+.000PC+.255PM+.005FS+.167DOR+.108PI+.116INV+.140BI The above show that there is only one independent variable that is packing material have significant relation with the dependent variable and all others independent variable have insignificant relationship with dependent variable. Conclusion The finding of our research packaging role and its influence on consumer buying behavior shows the following results. From my research study I find out that packaging are the important elements which highly influence the consumer buying behavior. Packaging describe information about product like where it was made, when it was made, what it contains, and how it to use etc. Our research discovered that the package elements are the most important factor to influence the consumer's purchase decision. Producer used printed information in packaging as a promotion of the product as compare to used highly expensive advertisement. Model .032b Sig. Regression Analysis Model R R Square Adjusted R Square Std. Error of estimate 1 .387 .150 .085 .82741 In the mention table of ANOVA its clear that the model is significant the reason is that the value is less than 0.05 which shows the significant of the statistical model. So there is relationship between dependent and independent variables. Our dependent variable is consumer is buying behavior. ANOVA Df Model Sum of squares Mean square F Sig. Regression 11.126 1.589 1 Residual 62.984 .685 Total 74.110 Standardized Coefficients Beta Model summary 7 2.322 92 99 Coefficients Unstandardized t coefficients B Std. Error (constant) 1.250 .936 1.335 .185 Packaging color .000 .130 .000 .001 .999 Packaging .255 .109 .233 2.342 .021 material Font style .005 .094 .005 .052 .959 Design of wrapper .167 .100 .164 1.676 .097 Printed .108 .119 .090 .908 .366 information Innovation .116 .124 .098 .935 .352 Background image .140 .101 .149 1.393 .167 Our dependent variable is consumer buying behavior. Regression equation: Y=A+Bx1+Cx2+Dx3+Ex4+Fx5+Gx6+Hx7 Sa+ B1(PC) + 32(PM) + B3(FS) + B4(DOR) + B5(PI) +36(INV) + 37(BI) 1.250+.000PC+.255PM+.005FS+.167DOR+.108PI+.116INV+.140BI The above show that there is only one independent variable that is packing material have significant relation with the dependent variable and all others independent variable have insignificant relationship with dependent variable. Conclusion The finding of our research packaging role and its influence on consumer buying behavior shows the following results. From my research study I find out that packaging are the important elements which highly influence the consumer buying behavior. Packaging describe information about product like where it was made, when it was made, what it contains, and how it to use etc. Our research discovered that the package elements are the most important factor to influence the consumer's purchase decision. Producer used printed information in packaging as a promotion of the product as compare to used highly expensive advertisement. Model .032b Sig. Regression Analysis Model R R Square Adjusted R Square Std. Error of estimate 1 .387 .150 .085 .82741 In the mention table of ANOVA its clear that the model is significant the reason is that the value is less than 0.05 which shows the significant of the statistical model. So there is relationship between dependent and independent variables. Our dependent variable is consumer is buying behavior. ANOVA Df Model Sum of squares Mean square F Sig. Regression 11.126 1.589 1 Residual 62.984 .685 Total 74.110 Standardized Coefficients Beta Model summary 7 2.322 92 99 Coefficients Unstandardized t coefficients B Std. Error (constant) 1.250 .936 1.335 .185 Packaging color .000 .130 .000 .001 .999 Packaging .255 .109 .233 2.342 .021 material Font style .005 .094 .005 .052 .959 Design of wrapper .167 .100 .164 1.676 .097 Printed .108 .119 .090 .908 .366 information Innovation .116 .124 .098 .935 .352 Background image .140 .101 .149 1.393 .167 Our dependent variable is consumer buying behavior. Regression equation: Y=A+Bx1+Cx2+Dx3+Ex4+Fx5+Gx6+Hx7 Sa+ B1(PC) + 32(PM) + B3(FS) + B4(DOR) + B5(PI) +36(INV) + 37(BI) 1.250+.000PC+.255PM+.005FS+.167DOR+.108PI+.116INV+.140BI The above show that there is only one independent variable that is packing material have significant relation with the dependent variable and all others independent variable have insignificant relationship with dependent variable. Conclusion The finding of our research packaging role and its influence on consumer buying behavior shows the following results. From my research study I find out that packaging are the important elements which highly influence the consumer buying behavior. Packaging describe information about product like where it was made, when it was made, what it contains, and how it to use etc. Our research discovered that the package elements are the most important factor to influence the consumer's purchase decision. Producer used printed information in packaging as a promotion of the product as compare to used highly expensive advertisement. Model .032b Sig