Analysis of Secondary Data of Cotton Textiles

Only available on StudyMode
  • Download(s) : 49
  • Published : July 26, 2010
Open Document
Text Preview
Introduction

This report explains about various competitive study of various aspects, Sales, expense, import, and export analysis etc. of Cotton Textile Industry. In this Analysis Report, comparative study and analysis is done for whole industry at the end. The tables are formed and values are considered as per availability of data of the years.

Methodology

Trends for complete textile industry were computed using estimating equations and correlating the appropriate variable (Sales, import, export, raw material, power, advertisement, etc) from year 1994 to 2007.

Report

Result preparation according to import of raw material, Finished goods and Sales.

Correlations
SalesImport_RMImport_FG
SalesPearson Correlation10.7982853980.254598201
Sig. (2-tailed) 1.038E-1735.08316E-13
N781781781
Import_RMPearson Correlation0.79828539810.211418987
Sig. (2-tailed)1.038E-173 2.42394E-09
N781781781
Import_FGPearson Correlation0.2545982010.2114189871
Sig. (2-tailed)5.08316E-132.42394E-09
N781781781
**Correlation is significant at the 0.01 level (2-tailed).

Comments

As per the correlation result of sales and import it is clear that import of finished goods is very less correlated to sales.

So we can say that sales are not that much affected by importing the finished goods.

Result preparation according to Advertisement and Sales.

Correlations
SalesAdv
SalesPearson Correlation10.63976798
Sig. (2-tailed) 3.94246E-91
N781781
AdvPearson Correlation0.6397681
Sig. (2-tailed)3.942E-91
N781781
**Correlation is significant at the 0.01 level (2-tailed).

Comments

As given in table above it is clear that sales are not much correlated with Advertisement.

So regarding the results, it can be interpreted that advertisement are not going affect the sales much.

Result preparation according to Sales and Marketing expense.

Correlations
SalesMarketing expenses
SalesPearson Correlation10.898442773
Sig. (2-tailed) 1.1275E-280
N781781
Marketing_expensesPearson Correlation0.89844281
Sig. (2-tailed)1.13E-280
N781781
**Correlation is significant at the 0.01 level (2-tailed).

Comments

As given in table above it can be seen that the sales are correlated with marketing expense.

So regarding the results, it can be interpreted that the sales can be improved if expense on marketing is increased. .

Result preparation according to the expenses.

Correlations
ExpensesRM_expensesPowerAdvMarketing_expRnD_exp
ExpensesPearson Correlation10.9850577960.9674080.636930.8976056740.7962161 Sig. (2-tailed) 004.29E-902.3254E-2793.54E-172
N781781781781781781
RM_expensesPearson Correlation0.985057810.9625310.5780110.8780196760.7988712 Sig. (2-tailed)0 08.16E-711.6921E-2513.79E-174
N781781781781781781
PowerPearson Correlation0.96740770.96253072210.5667750.8626660120.825219 Sig. (2-tailed)00 1.43E-677.9822E-2331.87E-195
N781781781781781781
AdvPearson Correlation0.63692970.5780107820.56677510.5637946220.4392384 Sig. (2-tailed)4.288E-908.16026E-711.43E-67 9.91689E-673.572E-38 N781781781781781781
Marketing_expPearson Correlation0.89760570.8780196760.8626660.56379510.6836317 Sig. (2-tailed)2.33E-2791.6921E-2518E-2339.92E-67 1.17E-108 N781781781781781781
RnD_expPearson Correlation0.79621610.7988712030.8252190.4392380.6836316811 Sig. (2-tailed)3.54E-1723.7931E-1741.9E-1953.57E-381.1722E-108 N781781781781781781
**Correlation is significant at the 0.01 level (2-tailed).

Comments

As given in table above it can be seen that the overall expense is highly correlated with raw material expense, power and marketing expense. And it is quite less correlated with advertisement and R&D expense as compared to raw material and power.

So it...
tracking img