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A Comparative Analysis of Illinois, Ohio, Colorado and South Dakota Park Districts and Parks and Recreation Departments to Wisconsin, Iowa, Missouri, Kansas, Indiana, and Michigan Parks and Recreation Departments
Unformatted Document Text:  Linear Regression with Structure of Government as the Independent Variable Model R R Square Adjusted R Square Std. Error of the Estimate 1 .087(a) .008 .003 1.0565985 a Predictors: (Constant), department of city Coefficients(a) Model Unstandardized Coefficients Standardized Coefficients B Std. Error Beta t Sig. 1 (Constant) .812 .101 8.025 .000 department of city .184 .144 .087 1.275 .204 a Dependent Variable: Budgetary efficiency Table 12 shows that there is a very weak relationship between being a parks and recreation department and budgetary efficiency taking place, with an R-square at . 008. In addition, the independent variable is not statistically significant. Table 13 Linear Regression with Structure of Government as the Independent Variable Model R R Square Adjusted R Square Std. Error of the Estimate 1 .039(a) .002 -.003 42.89480 a Predictors: (Constant), park district Coefficients(a) Model Unstandardized Coefficients Standardized Coefficients B Std. Error Beta t Sig. 1 (Constant) 25.196 3.587 7.024 .000 park district -3.464 6.038 -.039 -.574 .567 a Dependent Variable: Staff efficiency 26

Authors: Emanuelson, David.
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background image
Linear Regression with Structure of Government as the Independent Variable
Model
R
R Square
Adjusted R
Square
Std. Error of
the Estimate
1
.087(a)
.008
.003
1.0565985
a Predictors: (Constant), department of city
Coefficients(a)
Mode
l

Unstandardized
Coefficients
Standardized
Coefficients
B
Std. Error
Beta
t
Sig.
1
(Constant)
.812
.101
8.025
.000
department of city
.184
.144
.087
1.275
.204
a Dependent Variable: Budgetary efficiency
Table 12 shows that there is a very weak relationship between being a parks and
recreation department and budgetary efficiency taking place, with an R-square at .
008. In addition, the independent variable is not statistically significant.
Table 13
Linear Regression with Structure of Government as the Independent Variable
Model
R
R Square
Adjusted R
Square
Std. Error of
the Estimate
1
.039(a)
.002
-.003
42.89480
a Predictors: (Constant), park district
Coefficients(a)
Mode
l

Unstandardized
Coefficients
Standardized
Coefficients
B
Std. Error
Beta
t
Sig.
1
(Constant)
25.196
3.587
7.024
.000
park district
-3.464
6.038
-.039
-.574
.567
a Dependent Variable: Staff efficiency
26


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