For each of the correlations respond with the following (Revise*Anxiety, Revise*Exam, and Anxiety*Exam) 1. Was the correlation significant? 2. Report the results in APA format
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.
For each of the
1. Was the correlation significant?
2. Report the results in APA format
![Exam Anxiety*
Descriptives
T-Tests
ANOVA
Mixed Models Regression
Frequencies
Factor
license).
Correlation Matrix
Variables
Correlation Matrix v
Code
Revise
Gender
Exam
The results show a statistically significant negative correlation between Exam and Anxiety (r = -0.441, p < 0.01): the lower the Anxiety, the
higher the Exam score.
%3D
Anxiety
Condition on
Pearson's Correlations
Pearson's r
Lower 95% CI
Upper 95% CI
Revise
Exam
0.397
<.001
0.220
0.548
Revise
-0.794
-0.598
Anxiety
Anxiety
-0.709
<.001
Sample Correlation Coefficient
Additional Options
Еxam
-0.441
<.001
-0.585
-0.271
Pearson's r
Display pairwise
Spearman's rho
Report significance
The correlation matrix provides more information:
Kendall's tau-b
Flag significant correlations
Confidence intervals
Scatter plots v
Interval 95.0
%
Revise vs. Exam
Vovk-Sellke maximum p-ratio
Sample size
Alt. Hypothesis
Plots
Correlated
Scatter plots
r = 0.397
95% Cl: [0.220, 0.548]
Correlated positively
Densities for variables
Correlated negatively
Statistics
Confidence intervals
95.0
%
Prediction intervals
95.0
Heatmap
Assumption Checks
20
40
60
80
100
100
Options
2021-02-28 11:41:15
80
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Speed CC
Density
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