Model
Summary
Model
R
R Square
Adjusted R Square
Std. Error of the
Estimate
1
.299a...
Model
Summary
Model
R
R Square
Adjusted R Square
Std. Error of the
Estimate
1
.299a
.089
.088
11.80775
a. Predictors:
(Constant), FIRSTT, LASTT, INCOME, AVGGIFT
ANOVAa
Model
Sum of Squares
df
Mean Square
F
Sig.
1
Regression
31353.012
4
7838.253
56.219
.000b
Residual
319139.342
2289
139.423
Total
350492.354
2293
a. Dependent Variable:
TARGET_D
b. Predictors:
(Constant), FIRSTT, LASTT, INCOME, AVGGIFT
Coefficientsa
Model
Unstandardized
Coefficients
Standardized
Coefficients
t
Sig.
B
Std. Error
Beta
1
(Constant)
.165
1.351
.122
.903
INCOME...
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-...