In this video lecture, Professor Naomi Lowe will discuss logic, assumptions of correlation, calculations of Pearson's r, and regression lines.
Correlations examine the relationship between two continuous variables. The relationships between the variables are represented on scatter plots. R values range from -1 to 1.
A positive relationship between two variables does not mean they have a causal effect. Confounding variables can influence both variables at the same time.
Linearity, normality of residuals, and homoscedasticity are three assumptions made when using correlation for statistical analysis.
Lowe introduces the formula for calculating r. To test significance, an r distribution is converted to t. r is also an effect size
Regression makes predictions based on one variable and a regression line of best fit equation.
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In this video lecture, Professor Naomi Lowe discusses logic, assumptions of correlation, calculations of Pearson's r, and regression lines.
Length: 31 minutes
Copyright date: ©2010
Prices include public performance rights.
Not available to Home Video and Publisher customers.
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