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What does variance additivity state
If distributions are independent, variance of their sum = sum of variances
What happens to variance as sample size increases
Increases
What does covariance measure
How two variables change together
What is the formula for joint variance
Variance of X + variance of Y + 2 x covariance of X and Y
What is the covariance of independent samples
Zero
Why is covariance limited as a measure
Depends on units and can’t show independence clearly
What is Pearson correlation coefficient?
R, standardized measure of association btwn 2 variables
What is the range of Pearson correlation coefficient
-1 to 1
What does R equal to zero indicate
No correlation between variables
What does R close to one indicate
Strong positive correlation
What does R close to minus one indicate
Strong negative correlation
What is the limitation of correlation
It shows association but does not allow prediction
What statistical method allows prediction of one variable from another
Linear regression
What method is used to fit a regression line
Least squares method
What does the least squares method minimize
Sum of squared differences btwn observed and predicted values
What is the equation of a linear regression line
y = a + bx
What does the intercept a represent
y when x = 0
What does the slope b represent
Change in y for a 1 unit increase in x
What is the null hypothesis in a regression test
The population slope beta equals zero
What is the alternative hypothesis in a regression test
The population slope beta is not equal to zero
What type of data is required for regression testing
Paired continuous measurements
What variances are computed in a regression test
Model variance and error variance
What test statistic is used in regression testing
The F statistic
Why is a regression test similar to ANOVA
It compares explained variance to unexplained variance
What does the model term represent in regression
How far the regression line is from the null hypothesis line
What does the error term represent in regression
How close observed values are to predicted values
What is the degrees of freedom for the model in regression
One
What is the degrees of freedom for error in regression
# of observations - 2
What is the coefficient of determination
R squared
What does R squared measure
Proportion of total variance explained by regression model
If R squared = 0.48, what does it mean?
48% of variance is explained by regression line
How is R squared related to Pearson correlation?
Square of the Pearson correlation coefficient
Why does correlation not imply causation
Association does not prove one variable causes the other
What is the difference between correlation and regression
Correlation measures association while regression predicts values
When is linear regression appropriate
When the relationship between variables is linear
What is an important limitation when making predictions
Predictions should only be made within the observed data range