1. The following output is from a multiple regression analysis
that was run on the variables...
1. The following output is from a multiple regression analysis
that was run on the variables FEARDTH (fear of
death) IMPORTRE (importance of religion),
AVOIDDTH (avoidance of death),
LAS (meaning in life), and
MATRLSM (materialistic attitudes). In the
regression analysis, FEARDTH is the criterion
variable (Y) and IMPORTRE,
AVOIDDTH, LAS, and
MATRLSM are the predictors (Xs). The SPSS output
is provided below, followed by a number of questions (12 points
total).
Descriptive
Statistics
Mean
Std. Deviation
N
feardth
27.0798
8.08365...
Based on the charts below, Determine whether a
statistically reliable oil consumption model can be estimated
Variables...
Based on the charts below, Determine whether a
statistically reliable oil consumption model can be estimated
Variables
Entered/Removeda
Model
Variables Entered
Variables Removed
Method
1
Number People, Home
Index, Degree Days, Customerb
.
Enter
a. Dependent Variable:
Oil Usage
b. All requested
variables entered.
Model
Summary
Model
R
R Square
Adjusted R Square
Std. Error of the
Estimate
1
.889a
.790
.766
85.445
a. Predictors:
(Constant), Number People, Home Index, Degree Days, Customer
ANOVAa
Model
Sum of Squares
df
Mean Square...
Do the following results from SPSS demonstrate a relationship
between relationship status (married and single) and...
Do the following results from SPSS demonstrate a relationship
between relationship status (married and single) and happiness. In
other words, are people more happy when they are married?
ANOVAa
Model
Sum of Squares
df
Mean Square
F
Sig.
1
Regression
1.059
1
1.059
.998
.318b
Residual
422.531
398
1.062
Total
423.590
399
a. Dependent Variable:
Relationship happiness
b. Predictors:
(Constant), Marital Status
Coefficientsa
Model
Unstandardized
Coefficients
Standardized
Coefficients
t
Sig.
B
Std. Error
Beta
1
(Constant)
3.957
.081
49.032
.000...
ANOVAb
Model
Sum of Squares
df
Mean Square
F
Sig.
1
Regression
109,780
3
36,593
617,763...
ANOVAb
Model
Sum of Squares
df
Mean Square
F
Sig.
1
Regression
109,780
3
36,593
617,763
,030a
Residual
10,722
181
,059
Total
120,501
184
a. Predictors:
(Constant), F4, F2, F3
b. Dependent Variable:
F1
Coefficientsa
Model
Unstandardized
Coefficients
Standardized
Coefficients
t
Sig.
B
Std. Error
Beta
1
(Constant)
,356
,105
3,373
,001
F2
-,269
,026
-,699
-2,997
,030
F3
,030
,028
,570
2,103
,021
F4
,859
,024
,989
1,112
,141
a. Dependent Variable:
F1
a- Write down the hypothesis, p-...