Statistical Models
Interpreting Pearson's Correlation Coefficient

Statistical Models

Bivariate Statistics

• The statistical investigation process
• Association between variables
• The effects of outliers on correlation
• Causality
• Interpreting Pearson's correlation coefficient
• Calculating linear regression {TI-84 Plus CE}
• Interpreting values of linear regression
• Residual plots {TI-84 Plus CE}
• Calculating exponential regression {TI-84 Plus CE}
• Interpreting values of exponential regression
• ​Interpolation and extrapolation​

The Normal Distribution

• Properties of the bell shape curve
• Finding integral and non-integral probabilities {TI-84 Plus CE}
• Finding quantiles {TI-84 Plus CE}​

Previously we have described the strength of correlation by making visual observations of the data and subjectively deciding if the correlation is strong, moderate or weak. Since this observation is subjective and relies on the observers opinion, it is important to get a more precise measure of the strength of correlation between the variables. This can be achieved through a calculation known as Pearson's correlation coefficient.