The above table shows the result for Partial Covariance Analysis
. Covariance measures how much two random variables change together.
The covariance analysis
was used to determine the pretest, posttest and intergroup test differences.
Soil mobilization times (before and after soil tillage) were evaluated based on covariance analysis
using the SAS statistical software.
When the differences between the groups were reanalyzed after controlling HADS depression scores with covariance analysis
, the significant difference in ASEX and WHOQOL-BREF-TR physical domain scores between the groups remained, but the significant difference in WHOQOL-BREF-TR psychological domain scores disappeared.
Closed-Loop Linear Covariance Analysis
introduces the analytical linear covariance method to quantify the robustness measure for closed-loop relative trajectory dispersion.
To investigate the differences between age brackets in the obtained regression lines for each of the four types of experimental task, covariance analysis
of [M.sub.m] was performed for each experimental task using [M.sub.f] as the covariant.
In order to analyze data the following features were measured: frequency, percentage, standard deviation, T, covariance analysis
, and the Kolmogorov-Smirnov test.
The results showed that the test is not significant at 0/05 (Box's M=33/00, F= 1/22 F, SIG= 0/22) and therefore, it can be used from multivariate covariance analysis
for testing this issue (MANCOVA).
A summary of covariance analysis
is presented in Table 2.
Linear regression relationships between SL, LW, and Wt were calculated and compared through the use of covariance analysis
to determine if there was a relationship between sex and shell size or shape (Stoner et al., 2012).
Statistical analysis was performed by SPSS (version 13) using independent t-test, Pearson's correlation coefficient and covariance analysis
was performed to see the association of liver function tests and MS (correcting for age, smoking, and gender).