2000 words economic assignment due 13 hours

Report-3: Quantitative Analysis of Business and Economic Data to Inform Business Decisions

Name of the student:

Student ID number:

Name of the selected country: Switzerland

Name of the selected product: Apple

1. Executive summery

2. Introduction

3. Application of Analytical Techniques for Quantitative Analysis

(a) Application of basic statistical techniques

Table 1: GDP and sectoral contribution in (Switzerland) (in million dollars): 2000-2014

Year	GDP	HH Consumption	Export	Import
2000	271600	274821	264052	231024
2001	278629	280675	264012	233282
2002	301128	281606	258691	227865
2003	351983	282807	256174	228800
2004	393541	287938	280630	237795
2005	407536	292196	299010	261156
2006	429196	296524	317799	269448
2007	477408	303442	353915	285057
2008	551547	308032	367582	299052
2009	539528	311890	330912	287733
2010	581209	316992	428189	346155
2011	696279	319582	373421	311078
2012	665054	327903	391750	395932
2013	684535	335125	395932	330973
2014	702706	339200	456338	375510

Source: World Development Indicators 2016, the World Bank

(i) Descriptive statistics of data and interpretation

Formula Arithmetic Mean

(Talukder,2017a).

Mean: the average number

Median: the middle number

The median of GDP is :477408

Nariance

(Talukder,2017b).

Standard Deviation

(Talukder,2017c).

Table 2: Descriptive statistics of data from Table 1, 2000-2014

	GDP	Household (HH) Consumption	Export (X)	Import (M)
Mean	488，791.9	303，915.5	335，893.8	288,057.3
Median	477，408	303，442	330，912	285,057
Variance	24132，338，818	433，484，305	4，278，386，061	3,010,423,206
Standard deviation	155，346	20，820	65,409	54,867

Source: Author's calculation based on table 1.

Interpretation of data to inform business decisions

(ii) Coefficient of variation (CV) and coefficient of correlation

Coefficient of variation (CV):

(Talukder,2017d).

Coefficient of correlation:

(Talukder,2017e).

Interpretation of data to inform business decisions

(b) Simple linear regression

Regression model: GDP as dependent variable and HH consumtiotion as independent variable

(Talukder,2017e).

(ii) Write formula and calculate the following terms and interprete results

Formula

The following is taken from Dr. Tulakder,2017f

Table 3: Simple linear regression results

(dependent variable: GDP, independent variable: HH consumpotion)

(1)	y-intercept (constant)	-1729，794
(2)	Regression coefficient (slope of regression line)	7.3
(3)	Random variable (error term)	33381.42
(4)	R-square	0.6

Source: Author's calculation based on table 1.

Draw a regression line:

Regression line

Source: Author's calculation based on table 1.

Interpretation of data to inform business decisions

(c) Multiple linear regression model

(i) Regression model: HH consumption as dependent variable and exports and imports as independent variables

(ii) Write formula and calculate the following terms and interprete results

Formula

The following is taken from Dr.Talukder 2017g