Your English writing platform
Discover LudwigSuggestions(5)
Exact(18)
Linear correlation analysis between two quantitative variables was applied using Pearson's correlation coefficient (r).
Correlation between two quantitative variables was done using Pearson's correlation coefficient, while correlation between qualitative ordinal variables was done using non-parametric Spearman's rho correlation coefficient.
Spearman rank-order correlation coefficient (rho) is used to test for a rank order relationship between two quantitative variables when concerned that one or both variables is ordinal (rather than interval) and/or not normally distributed or when the sample size is small (Gravetter & Wallnau, 2013).
Associations between two quantitative variables were assessed by linear regression.
Relationship between two quantitative variables was examined using Pearson's correlation coefficients.
The present review introduces methods of analyzing the relationship between two quantitative variables.
Similar(42)
Data Analysis: descriptive statistics were used to describe the study sample, Pearson correlation was used for investigating the relationship between two quantitative, continuous variables, independent Student's t-test was used to compare the means of two independent samples, one way analysis of variance (ANOVA) was used to test for differences among more than two groups.
Regression analysis is a statistical methodology that utilizes the relation between two or more quantitative variables so that a response or outcome variable can be predicted from the others.
The experimental design included a multi-level factorial design with three qualitative variables and four response quantitative variables.
T test and analysis of variance (ANOVA) were used to detect the relation between quantitative variables (comparing two groups and three groups respectively).
To compare normal distributed quantitative variables between two groups and between three or more different groups, Student's t-test and analysis of variance test were used, respectively.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com