To use regression analysis to predict the value of a dependent variable based on an independent variable The meaning of the regression coefficients bo and b . To evaluate the assumptions of regression analysis and know what to do if the assumptions are violated . To make inferences about the slope and correlation coefficient . To estimate mean values and predict individual values
▪ Interpret the mean and standard deviation for a discrete probability distribution ▪ Explain covariance and its application in finance ▪ Use the binomial probability distribution to find probabilities ▪ Describe when to apply the binomial distribution ▪ Discuss the Hypergeometric distribution ▪ Review the Poisson distribution
To describe the properties of central tendency, variation and shape in numerical data To calculate descriptive summary measures for a population To construct and interpret a box-and-whisker plot To describe the covariance and coefficient of correlation as a measure of the strength of the relationship between two numerical variables