26. Total
N
Percent
N
Percent
N
Percent
X2 -- Party Person * X32 -- Gender
325
99.7%
1
0.3%
326
100.0%
X2 -- Party Person * X32 -- Gender Crosstabulation
Count
X32 -- Gender
Total
Male
Female
X2 -- Party Person
2
6
3
9
3
34
18
52
32. 208
117
325
Expected Count
208.0
117.0
325.0
% within X32 -- Gender
100.0%
100.0%
100.0%
Chi-Square Tests
Value
df
Asymptotic Significance (2-sided)
Pearson Chi-Square
8.472a
5
.132
Likelihood Ratio
8.121
5
.150
Linear-by-Linear Association
3.435
1
.064
N of Valid Cases
325
33. a. 2 cells (16.7%) have expected count less than 5. The
minimum expected count is 3.24.
ONEWAY x9 BY x32
/STATISTICS DESCRIPTIVES
/MISSING ANALYSIS.
Oneway
Descriptives
X9 -- Buy New Products
N
Mean
Std. Deviation
Std. Error
95% Confidence Interval for Mean
Minimum
Maximum
Lower Bound
Upper Bound
Male
208
36. Std. Error
95% Confidence Interval for Mean
Minimum
Lower Bound
Upper Bound
No Children at Home
148
4.87
1.535
.126
4.62
5.12
1
1-2 Children at Home
95
4.72
1.478
.152
4.41
5.02
1
More Than 2 Children at Home
82
5.13
1.538
.170
4.80
5.47
1
Total
37. 325
4.89
1.523
.084
4.73
5.06
1
Descriptives
X24 -- Likely to Recommend
Maximum
No Children at Home
7
1-2 Children at Home
7
More Than 2 Children at Home
7
Total
7
ANOVA
X24 -- Likely to Recommend
Sum of Squares
df
Mean Square
F
Sig.
Between Groups
7.819
2
3.910
38. 1.693
.186
Within Groups
743.412
322
2.309
Total
751.231
324
Post Hoc Tests
Multiple Comparisons
Dependent Variable: X24 -- Likely to Recommend
Scheffe
(I) X33 -- Number of Children at Home
(J) X33 -- Number of Children at Home
Mean Difference (I-J)
Std. Error
Sig.
95% Confidence Interval
Lower Bound
39. Upper Bound
No Children at Home
1-2 Children at Home
.156
.200
.738
-.34
.65
More Than 2 Children at Home
-.263
.209
.456
-.78
.25
1-2 Children at Home
No Children at Home
-.156
.200
.738
-.65
.34
More Than 2 Children at Home
-.418
.229
.190
-.98
.14
More Than 2 Children at Home
No Children at Home
.263
.209
.456
-.25
.78
40. 1-2 Children at Home
.418
.229
.190
-.14
.98
Homogeneous Subsets
X24 -- Likely to Recommend
Scheffea,b
X33 -- Number of Children at Home
N
Subset for alpha = 0.05
1
1-2 Children at Home
95
4.72
No Children at Home
148
4.87
More Than 2 Children at Home
82
5.13
Sig.
.147
Means for groups in homogeneous subsets are displayed.
41. a. Uses Harmonic Mean Sample Size = 101.770.
b. The group sizes are unequal. The harmonic mean of the group
sizes is used. Type I error levels are not guaranteed.
CORRELATIONS
/VARIABLES=x22 x23
/PRINT=TWOTAIL NOSIG
/STATISTICS DESCRIPTIVES
/MISSING=PAIRWISE.
Correlations
Descriptive Statistics
Mean
Std. Deviation
N
X22 -- Satisfaction
5.33
1.331
325
X23 -- Likely to Return
4.53
1.148
325
Correlations
X22 -- Satisfaction
X23 -- Likely to Return
42. X22 -- Satisfaction
Pearson Correlation
1
.584**
Sig. (2-tailed)
.000
N
325
325
X23 -- Likely to Return
Pearson Correlation
.584**
1
Sig. (2-tailed)
.000
N
325
325
**. Correlation is significant at the 0.01 level (2-tailed).
REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT x22
/METHOD=ENTER x13 x14 x18 x21.
43. Regression
Variables Entered/Removeda
Model
Variables Entered
Variables Removed
Method
1
X21 -- Speed of Service, X14 -- Large Size Portions, X18 --
Excellent Food Taste, X13 -- Fun Place to Eatb
.
Enter
a. Dependent Variable: X22 -- Satisfaction
b. All requested variables entered.
Model Summary
Model
R
R Square
Adjusted R Square
Std. Error of the Estimate
1
.422a
.178
.168
1.214
a. Predictors: (Constant), X21 -- Speed of Service, X14 -- Large
Size Portions, X18 -- Excellent Food Taste, X13 -- Fun Place to
Eat
44. ANOVAa
Model
Sum of Squares
df
Mean Square
F
Sig.
1
Regression
102.239
4
25.560
17.346
.000b
Residual
471.534
320
1.474
Total
573.772
324
a. Dependent Variable: X22 -- Satisfaction
b. Predictors: (Constant), X21 -- Speed of Service, X14 -- Large
Size Portions, X18 -- Excellent Food Taste, X13 -- Fun Place to
Eat
46. .234
.064
.191
3.673
.000
X21 -- Speed of Service
.188
.034
.292
5.604
.000
a. Dependent Variable: X22 -- Satisfaction
ANALYSIS OF MEANS
1. What is the mean for each (not combined)
A) X7,
B) X12,
C) X17, and
D) X22.
Looking at the scale in the questionnaire explain fully what the
mean tells us about each of those variables.
For example,
For X50 the mean is 7 which means that on average the
respondents Strongly Agree that alcohol should be served at the
restaurant (X50).
7 point likert scale
1 Strongly Disagree
2 Disagree
47. 3 Somewhat Disagree
4 Undecided
5 Somewhat Agree
6 Agree
7 Strongly Agree
2. Compare and contrast the means of two groups. Are
males OR females less likely to buy a new product? Explain
fully your conclusion. Don't guess. Support your answer by
providing the mean that was computed.
.
3. Correlation: Explain fully the concept of correlation between
variables. Based on the questionnaire implemented and the
SPSS outputs, does the Pearson Correlation reveal that there is a
high or low correlation between the level of satisfaction and the
likelihood to return to a favorite Mexican restaurant? What was
the Pearson Correlation computed to be? For example .4, .6,
.73, .85, or 1.0? Don't guess. Explain fully.
.
4. What does the multiple regression reveal about the ability of
fun, size, taste, and service to predict customer
satisfaction? Don't guess. What are the beta coefficients for
each? Explain fully.