# Introduction to Square Analysis

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## Square Analysis sentence examples within binary logistic regression

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Chi-square analysis and binary logistic regression statistical methods were used to analyze the correlation between influencing factors and prognosis.

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Descriptive statistic, bivariate Chi-square analysis and binary logistic regression were conducted to determine factors influencing low QOL and poor health status.

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## Square Analysis sentence examples within multivariate logistic regression

## Square Analysis sentence examples within p value 0

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## Square Analysis sentence examples within multiple logistic regression

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Socioeconomic positions in relation to clustering were identified through Chi-square analysis followed by multiple logistic regression where clustering at family and area was adjusted through multilevel modeling techniques.

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Data analysis was done in three stages: univariate analysis, bivariate analysis with chi square analysis method, multivariate analysis with multiple logistic regression analysis method.

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## Square Analysis sentence examples within significant differences among

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Hence, chi square analysis was run to ascertain significant differences among clusters based on business-related variables.

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One-way ANOVA and chi-square analysis was employed to assess and test the existence of significant differences among project implementation management approaches.

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## Square Analysis sentence examples within determine statistical significance

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Fisher's exact test and chi-square analysis were used to determine statistical significance.

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Percent incorrect for each item was used to determine common errors, and Pearson chi-square analysis was used to determine statistical significance between percent incorrect versus PGY level as well as method of Sig entry.

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## Square Analysis sentence examples within mean square error

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For theoretical analysis, the mean square analysis of RLMLS is provided in terms of the mean square deviation (MSD) and excess mean-square error (EMSE) with a white Gaussian reference.

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The models were compared based on performance indices like coefficient of determination, mean square error, root mean square error (RMSE), model predictive error, mean average deviation, goodness of fit, and chi‐square analysis.

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## Square Analysis sentence examples within Chi Square Analysis

## Square Analysis sentence examples within Least Square Analysis

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Partial least square analysis of Raman and AF spectra was performed; specificity and sensitivity of various skin oncological pathologies detection varied from 78.

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Carcass phenotypes on the steers were then collected at slaughter and evaluated for consistency with the assigned MBV groups using descriptive statistics and least square analysis.

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## Square Analysis sentence examples within Mean Square Analysis

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The mean square analysis for the rice genotypes was highly significant for all studied traits, indicating that the differences among the rice genotypes and their traits.

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For theoretical analysis, the mean square analysis of RLMLS is provided in terms of the mean square deviation (MSD) and excess mean-square error (EMSE) with a white Gaussian reference.

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## Square Analysis sentence examples within square analysis showed

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The results of chi-square analysis showed a signifcant relationship between family knowledge with rheumatic recurrence in elderly and family attitude with rheumatic recurrence in elderly.

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The chi square analysis showed a correlation between income (p value = 0,001) with choices of JKN’s membership class, and no correlation between accessibility (p value = 0,131) and services quality (p value = 0,091) with choices of JKN’s membership class.

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## Square Analysis sentence examples within square analysis revealed

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Chi-square analysis revealed that junk food consumption (OR=3,152; 95% CI=1,253-7,925; P=0,023), and soft drink consumption (OR=4,747; 95% CI=1,797-12,539; P=0,002) were the risk factors of prehypertension.

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Chi-square analysis revealed that BRAFV600E mutations were significantly associated with the male sex, lateral neck node metastasis, and several risk factors.

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## Square Analysis sentence examples within square analysis method

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By implemeting the partial least square analysis method to measure the correlation between variables, the result of the research found that e-impulse buying and user interface design have a significant influence on consumer buying interest in website.

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An intrinsically one-dimensional free energy calculation method developed in our recent works is successfully employed in these studies: First, one-dimensional umbrella samplings are performed using the two reaction coordinates; Then, bin-segmentations are performed along the transition paths in multi-dimensional phase spaces; Finally, the weighted least square analysis method (Welsam) is used for free energy analysis.

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## Square Analysis sentence examples within square analysis indicated

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Results of chi-square analysis indicated characteristics of targets of bullying were significantly different between key and non-key school in 12 main categories.

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However, a chi-square analysis indicated a significant association between gender and age of the birds and infection with helminthes.

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## Square Analysis sentence examples within square analysis result

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The Chi-Square analysis results showed that the p value is 0,020, meaning that there was a significant relationship between predialysis respiratory rate and intradialysis muscle cramps.

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The chi-square analysis results did not have a significant relationship between the level of education and knowledge of IUD counseling p = 0.

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## Square Analysis sentence examples within square analysis found

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The results of this study indicated based on chi-square analysis found there was a correlation between knowledge with diet compliance with a significant value (p = 0,000), there was a correlation between motivation with diet compliance with a significant value (p = 0.

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## Square Analysis sentence examples within square analysis compared

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Another finding based on Partial Least Square analysis shows that family values that have a significant positive effect on adolescent character habituation are self-control and emotion ( p =0.

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Chi-square analysis shows that history of previous treatment, HIV infection, drug side-effects status, Acid-Fast Bacilli (AFB) gradation, and duration of treatment were related to drug-resistant pulmonary TB.

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## Square Analysis sentence examples within square analysis obtained

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Chi-square analysis demonstrated significantly longer time in practice for practitioners without craniofacial fellowship training.

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Chi-square analysis demonstrated a statistically significant relationship between the selected restorative method at condition A and both gender (P = 0.

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## Square Analysis sentence examples within square analysis determined

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## Square Analysis sentence examples within square analysis tool

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Structural equation model with partial least square analysis tool is used to prove empirically the effect of each variables and the hypothesis testing.

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The sampling technique used in this study is purposive sampling using a Partial Least Square analysis tool with a population of all users of Go-Food services in the city of Surabaya.

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Frequency and chisquare analysis was used to present the results.

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Quasi-experimental type, Chi-square analysis, calculating odds ratio, Chi-square test.

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Results: From a total of 8,199 subjects, those who are female, Asian, black, Hispanic, ages 18–24 years old, have a family income <$35,000, unemployed, not wearers of corrective lenses, and have not seen a general or eye care provider showed increased no PE usage according to chi-square analysis.

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The Chi-square analysis was done through the SPSS for Mac software, version 21.

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A chi-square analysis was used to compare discrete data.

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Descriptive statistics and Chi-square analysis were used to present data through Statistical Package of Social Sciences software.

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To analyze the data, chi-square analysis and logistic regression were used.

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The analysis used is descriptive analysis and Chi-Square analysis.

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Statistical analyses included students' t-tests, chi-square analysis and analysis of variance.

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Descriptive statistics and Chi-square analysis were conducted, and the level of significance was set at P < 0.

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The chi-square analysis highlighted the presence of phenotypic variability within and between accessions from each agro-climatic zone for most of the traits evaluated indicating some adaptive forms related to the four zones.

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