MKT 500 Lecture Notes - Lecture 9: Dependent And Independent Variables, Standard Deviation, Analysis Of Variance
Document Summary
Project data analysis: descriptive describes the typical respondent, mean, mode, median, frequency distribution, range, standard deviation, associative determine if 2 variables are related in a systemic way, differences (t-tests, anova, etc. ) Associative analyses determine where stable relationships exist between two variables. Formula for a straight line: y = a + bx. Monotonic relationship the general direction of a relationship between two variables is known y = the dependent variable being estimated or predicted a = the intercept. Non-monotonic relationship two variables are associated, but only in a very general sense. Presence whether any systematic (statistical) relationship exists between two variables. Direction whether the relationship is positive or negative. Strength of association whether the relationship is consistent. Correlation coefficient communicates both the strength and the direction of the linear relationship between two metric variables: falls between the range -1 to +1. Covariation the amount of change in one variable systematically associated with a change in another variable.
