# Select the statistic test that best fits each description.Study examining how much of the variation in test scores can be explained by the variation in ACT composite scores.A. T-test independent samplesB. One-way ANOVAC. CorrelationD. Chi squareE. Simple Regression

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Select the statistic test that best fits each description.

Study examining how much of the variation in test scores can be explained by the variation in ACT composite scores.

• A. T-test independent samples
• B. One-way ANOVA
• C. Correlation
• D. Chi square
• E. Simple Regression
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Step 1

Regression:

Regression analysis explains whether two variables are related or not and correlation explains the degree of relationship between an independent and dependent variable. R-squared is a statistical measure that represents the proportion of the variance for a dependent variable that is explained by an independent variable or variables in a regression model. The correlation explains the strength of the relationship between an independent and dependent variable, whereas R-squared explains to what extent the variance of one variable explains the variance of the second variable.

Step 2

Conclusion for the problem:

The study examining how much of the variation in test scores can be explained by the variation in ACT scores. Here, the dependent variable is test scores and independent var...

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