Regression Analysis of Globalization Impact on Tesco

Running head: RESEARCH PROJECT
RESEARCH PROJECT
Name of the Student
Name of the University
Author Note

1RESEARCH PROJECT
Lo2 – data analysis
Overall impact variable is constructed by taking the average values of the all impact variables
without taking the Impact to vulnerability as this variable is negatively related to the positive
impacts. This is because the question is how much a person is agreed with the fact that
globalization makes the industries more vulnerable towards the market variations.
Regression analysis of the overall impact of globalization of Tesco:
Descriptive Statistics
Mean
Std.
Deviation N
Overall_impact 2.1433 .46658 50
Gender 1.66 .745 50
Age_group 2.46 .973 50
Tesco_realted_age 2.64 .964 50
factor 1.58 .883 50
Outsourcing_abilit
y
1.92 1.383 50
geographic_patter
n
3.10 .735 50
Correlations
Overall_im
pact Gender
Age_gro
up
Tesco_real
ted_age factor
Outsourcin
g_ability
geographic
_pattern
Pearson
Correlation
Overall_impac
t
1.000 -.551 -.448 -.473 -.156 -.219 -.142
Gender -.551 1.000 .670 .508 .337 .567 .510
Age_group -.448 .670 1.000 .680 .277 .513 .391

2RESEARCH PROJECT
Tesco_realted
_age
-.473 .508 .680 1.000 .490 .590 .138
factor -.156 .337 .277 .490 1.000 .273 .035
Outsourcing_a
bility
-.219 .567 .513 .590 .273 1.000 .610
geographic_pa
ttern
-.142 .510 .391 .138 .035 .610 1.000
Sig. (1-tailed) Overall_impac
t
. .000 .001 .000 .139 .063 .163
Gender .000 . .000 .000 .008 .000 .000
Age_group .001 .000 . .000 .026 .000 .003
Tesco_realted
_age
.000 .000 .000 . .000 .000 .169
factor .139 .008 .026 .000 . .028 .406
Outsourcing_a
bility
.063 .000 .000 .000 .028 . .000
geographic_pa
ttern
.163 .000 .003 .169 .406 .000 .
N Overall_impac
t
50 50 50 50 50 50 50
Gender 50 50 50 50 50 50 50