Marketing – Case 15.2 Your Integrated Case Global Motors Segmentation Analysis
Question
Case 15.2 Your Integrated Case Global Motors Segmentation Analysis
Case Questions
With each of the two models we have been using for Chapters 13 and 14 (the 1 seat all electric model and the 4 seat gasoline hybrid model), prepare a summary that does the following for EACH MODEL:
1. List the statistically significant independent variables (use 95% level of confidence).
2. Interpret the directional of the relationship of each statistically significant independent variable with respect to the preference for the hybrid model concerned.
3. Identify or distinguish the relative importance of each of the statistically significant independent variables.
4. Assess the strength of the statistically significant independent variables as they join to predict the preferences for the hybrid model concerned.
Please use the SPSS regression output in the attached file to answer these questions
CHAPTER 15: REGRESSION – GLOBAL MOTORS CASE 15.2
Use the computer output below to answer questions for Chapter 15.
REGRESSION ANALYSIS
1 SEAT ALL ELECTRIC MODEL
Model Summary
Adjusted R
Model
R
1
.527
Square
R Square
a
Std. Error of the
Estimate
.278
.271
1.051
a. Predictors: (Constant), Gasoline emissions contribute to global
warming., Gender, Dwelling type, Size of home town or city, Number of
people in household, Income category, Marital status, Age category, I
am worried about global warming., Level of education
ANOVAb
Model
1
Sum of Squares
Regression
df
Mean Square
420.739
10
42.074
Residual
1093.097
989
1513.836
38.067
Sig.
.000a
1.105
Total
F
999
a. Predictors: (Constant), Gasoline emissions contribute to global warming., Gender, Dwelling
type, Size of home town or city, Number of people in household, Income category, Marital status,
Age category, I am worried about global warming., Level of education
b. Dependent Variable: Desirability: 1 Seat All Electric
1
Coefficientsa
Standardized
Unstandardized Coefficients
Model
1
B
(Constant)
Std. Error
6.509
-1.304
t
Sig.
12.256
.000
.156
5.218
.000
.097
-.526
-13.399
.000
-.320
.136
-.081
-2.351
.019
.026
.044
.020
.584
.560
Age category
-.026
.004
-.259
-6.120
.000
Level of education
-.188
.047
-.249
-3.967
.000
2.499E-6
.000
.067
1.738
.083
.038
.037
.029
1.017
.309
-.073
.052
-.079
-1.400
.162
.155
.043
.214
3.604
.000
Size of home town or city
.000
Beta
.531
4.257E-7
Coefficients
Gender
Marital status
Number of people in
household
Income category
Dwelling type
I am worried about global
warming.
Gasoline emissions
contribute to global warming.
a. Dependent Variable: Desirability: 1 Seat All Electric
4 SEAT GASOLINE HYBRID
Model Summary
Adjusted R
Model
1
R
.718a
R Square
.516
Std. Error of the
Square
Estimate
.511
1.337
a. Predictors: (Constant), Gasoline emissions contribute to global
warming., Gender, Dwelling type, Size of home town or city, Number of
people in household, Income category, Marital status, Age category, I
am worried about global warming., Level of education
2
ANOVAb
Model
1
Sum of Squares
df
Mean Square
Regression
1882.682
10
188.268
Residual
1767.093
989
3649.775
Sig.
.000a
1.787
Total
F
105.369
999
a. Predictors: (Constant), Gasoline emissions contribute to global warming., Gender, Dwelling
type, Size of home town or city, Number of people in household, Income category, Marital status,
Age category, I am worried about global warming., Level of education
b. Dependent Variable: Desirability: 4 Seat Gasoline Hybrid
Coefficientsa
Standardized
Unstandardized Coefficients
Model
1
B
(Constant)
Size of home town or city
Gender
Marital status
Number of people in
Std. Error
1.892
.000
-1.503
Beta
t
.675
-7.158E-7
Coefficients
Sig.
2.801
.005
-.169
-6.901
.000
.124
-.391
-12.148
.000
.269
.173
.044
1.554
.121
-.143
.056
-.072
-2.544
.011
-.099
.005
-.632
-18.217
.000
.463
.060
.395
7.675
.000
-1.034E-5
.000
-.178
-5.657
.000
.132
.047
.065
2.786
.005
-.433
.066
-.301
-6.519
.000
.652
.055
.578
11.919
.000
household
Age category
Level of education
Income category
Dwelling type
I am worried about global
warming.
Gasoline emissions
contribute to global warming.
a. Dependent Variable: Desirability: 4 Seat Gasoline Hybrid
3
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