Question

Research Objective: According to Mintel Oxygen (2007, 2008) the term “value brand” refers to clothing retailing that is not simply price led but is also fashion orientated, leading to a blurring of the boundaries between value retailers and the middle market. Several commentators (Davies, 2004; Coulson, 2005; Bidlake, 2005; Frankel, 2007; Mintel Oxygen, 2007) agree that value brands include the incorporation of fashion into low prices and that the concept has moved away from “cheap clothing” to “cheap fashion”. Coulson (2005) goes further by asserting that fashion shoppers love being complimented on their latest purchase and then declaring that it cost next to nothing. Winterman (2006) talks about a fashion democracy, developed by brands such as Asda, where no one is excluded by price. The association with fashion credibility is underlined by Jackson and Shaw (2009), who argue that supermarket fashion has helped to shift consumers opinions about the fashion integrity of such ranges and that there is no longer a stigma associated with owning a value fashion product. Value fashion is, therefore, a concept that is influenced by fashion and offers versions of designer looks at the same time they are retailed at higher levels and prices. In 2015, Nielsen polled 30,000 consumers in 60 countries around the world. They wanted to know more about what influences how people feel about brands, and how those feelings impact buying behavior. One overwhelming conclusion of the report? That across the board, consumers are willing to pay extra for one thing: sustainability. This is especially true for Millennials. While 66 percent of global consumers are willing to pay more for sustainable goods, a full 73 percent of Millennials are (Nielsen defines Millennials as those born from 1977 to 1995). "Despite the fact that Millennials are coming of age in one of the most difficult economic climates in the past 100 years, they continue to be most willing to pay extra for sustainable offerings--almost three-out-of-four respondents," says Nielsen. The aim of the present study is to better understand customer's willingness to pay or spend a price in the market for branded clothing and what sort of brand images can be used by a brand in order to achieve price premium. This study is based on quantitative survey of brand images found in branding literature and their impact on customer's willingness to pay a price premium for branded clothing.

Do a reserch in complete with a saple data of 140 syudents and do regressin anlysis and complete analysis of every independent variable finally submit a full document with complete analysis and conclusion.

if you dont know dont answer I need proper research

Answer 1

The Research Model used in the current research is Linear Regression model. In Business Analytics, linear regression is a linear approach to modelling the relationship between a scalar response and one or more explanatory variables. The case of one explanatory variable is called simple linear regression. For more than one explanatory variable, the process is called multiple linear regression.

β1, β2, β3, β4, β5, β6, β7 are the coefficients of X1, X2, X3, X4, X5, X6,X7

ANALYSIS OF VARIOUS PARAMETERS INFLUENCE ON CUSTOMER SPENDING TOWARDS BRANDED CLOTHING The REG Procedure Model: Linear_Regression_Model Dependent Variable: SPENDING(RS) Number of Observations Read 134 Number of Observations Used 134 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr>F Model 7 29487107 4212444 1.88 0.0777 Error 126 281902818 2237324 Corrected Total 133 311389925 Root MSE 1495.76868 R-Square 0.0947 Dependent Mean 2149.25373 Adj R-Sq 0.0444 Coeff Var 69.59479 Parameter Estimates Parameter Standard Standardized Variance Variable DF Estimate Error t Value Pr>It! Estimate Tolerance Inflation 90% Confidence Limits Intercept 1 4121.37672 725.80547 5.68 <.0001 0 0 2918.69020 5324.06323 SALARY 65.04008 99.50826 0.65 0.5146 0.05679 0.95184 1.05059 -99.84879 229.92894 FREQUENCY OF SHOPPING 1 -241.40263 137. 18561-1.76 0.0809 -0.15563 0.91975 1.08725 -468.72425 -14.08101 MODE OF SHOPPING 1 -450.91785 270.90489 -1.66 0.0985 -0.14764 0.91327 1.09496 -899.81727 -2.01842 BRAND OVER PRICE 1 -149.82810 182.69009 -0.82 0.4137 -0.07419 0.87790 1.13909 -452.55233 152.89614 BRAND LOYALITY 1 -198.70337 178, 25604 -1.11 0.2671 -0.10152 0.86624 1.15442 -494.08023 96.67349 ATTRIBUTES FOR SELECTION 1 -164.80334 129.90470 -1.27 0.2069 -0.10993 0.95700 1.04493 380.06023 50.45355 CELEBRITY ENDORSEMENT 1 -133. 17116 184.46492 -0.72 0.4717 -0.06218 0.96862 1.03239 -438.83636 172.49404 Generated by the SAS System ('Local", W32_8HOME) on 28 January 2019 at 5:26:58 PM 1

DATA ANALYSIS AND INTERPRETATION

For the output we have taken from the SAS following is the analysis

We consider alpha = 0.1

Before forming the regression, equation following are the assumptions

Let consider

Dependent variable

Y = Average spending on branded clothing

Independent variables

X1 = Salary

X2= Frequency of shopping

X3 = Mode of shopping

X4 = Brand over price

X5 = Brand loyalty

X6 = Attributes for Selection

X7 = Celebrity Endorsement

So, for the above variable the regression equation is

Y = βo+ β1*X1+ β2*X2+ β3*X3+ β4*X4+ β5*X5+ β6*X6+ β7*X7

From the output we have got take the values of parameters and then substitute into the equation.

So, the final regression equation is

Y = 4121.38+65.04*X1-241.40*X2-450.92*X3-149.83*X4-198.70*X5-164.80*X6-133.17*X7

Global Hypothesis Testing

We are testing the Global Hypothesis by using p-test.

Null & Alternate Hypothesis

 Ho: β1= β2= β3= β4= β5=β5= β6= β7=0

Ha: At least one of the parameters is not equal to zero

From the ANOVA table from SAS output we observed the following values.

Condition: If p value <=α

Then we have to reject Ho

According to above data P value is 0.0777, α=0.1

0.0777 < 0.1

Here p value<= α

Reject Ho.

The model is significant.

This is based on my sample I have done previously I hope it will be useful

Thank you

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