Correlation and Regression Analysis

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Practice flashcards covering essential concepts of correlation and regression analysis from the lecture notes.

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12 Terms

1
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What is correlation in correlation analysis?

Association between two variables, not necessarily indicative of causation.

2
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What does regression analysis estimate?

The exact effect of one independent variable on the dependent variable.

3
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What is Pearson's correlation coefficient?

A measure of association that indicates the direction and strength of a relationship between two interval-level variables.

4
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What does a Pearson's r value of 0 indicate?

No relationship exists between the two variables.

5
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In regression analysis, what does the regression coefficient represent?

The estimated size of the effect of the independent variable on the dependent variable.

6
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What does the regression equation y = a + b(x) represent?

A linear relationship where a is the y-intercept and b is the slope.

7
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What is the relationship between hours studied and test scores as per the example?

Every additional hour studied increases the score by 6 points.

8
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What is the null hypothesis in regression analysis?

The true value of the effect of the independent variable on the dependent variable is equal to 0.

9
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What is indicated by a t-score equal to or greater than 2 in regression analysis?

We can reject the null hypothesis with confidence.

10
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What does a negative regression coefficient signify?

An inverse relationship between the independent variable and the dependent variable.

11
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How can the strength of the relationship between study hours and scores be summarized?

By the regression line that describes the average trend.

12
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What is a scatterplot used for in correlation analysis?

To graphically represent the relationship between the independent and dependent variables.