Correlations Descriptive Statistics Std. Deviation Мean N дра 2.7459 .74502 234 satmath 598.98 78.944 234 satverb 511.50 93.291 234 Correlations дра satmath satverb ** gpa Pearson Correlation 1 .223 .139 Sig. (2-tailed) .001 .034 234 234 234 ** ** satmath Pearson Correlation .223 1 .433 Sig. (2-tailed) .001 .000 234 234 234 ** satverb Pearson Correlation .139 .433 1 Sig. (2-tailed) .034 .000 234 234 234 **. Correlation is significant at the 0.01 level (2-tailed). *. Correlation is significant at the 0.05 level (2-tailed). [Q-Based on the data above, Come up with a research question that shows the correlation between GPA and SATmath score by using pearson correlation analysis. State the research question and interpret the results interpret the results?
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
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