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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:  Professional training in the parks and recreation field is part of professional certification, intended to train staff about pursuing professional goals and objectives. Among these are the professional values of increasing services, and avoidance of political complications that would suppress services. The following table shows the added affect of professional training on total services. Table 10 Linear Regression with Total Per Capita Expenditures and Professional Certification as Independent Variables Model R R Square Adjusted R Square Std. Error of the Estimate 1 .529(a) .280 .273 43.349 a Predictors: (Constant), les/rec cert, Percapita total budget Coefficients(a) Model Unstandardized Coefficients Standardized Coefficients B Std. Error Beta t Sig. 1 (Constant) 32.567 4.390 7.419 .000 Percapita total budget .157 .022 .432 7.049 .000 les/rec cert 20.929 6.301 .203 3.321 .001 a Dependent Variable: total services Table 10 suggests that the model’s R-square improves to .280, still in the moderately strong range and higher than with per capita total budget alone. 24

Authors: Emanuelson, David.
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background image
Professional training in the parks and recreation field is part of professional
certification, intended to train staff about pursuing professional goals and objectives.
Among these are the professional values of increasing services, and avoidance of
political complications that would suppress services.
The following table shows the added affect of professional training on total
services.
Table 10
Linear Regression with Total Per Capita Expenditures and Professional Certification as
Independent Variables
Model
R
R Square
Adjusted R
Square
Std. Error of
the Estimate
1
.529(a)
.280
.273
43.349
a Predictors: (Constant), les/rec cert, Percapita total budget
Coefficients(a)
Mode
l

Unstandardized
Coefficients
Standardized
Coefficients
B
Std. Error
Beta
t
Sig.
1

(Constant)
32.567
4.390
7.419
.000
Percapita total budget
.157
.022
.432
7.049
.000
les/rec cert
20.929
6.301
.203
3.321
.001
a Dependent Variable: total services
Table 10 suggests that the model’s R-square improves to .280, still in the
moderately strong range and higher than with per capita total budget alone.
24


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