# BSNS102 4

 The flashcards below were created by user Anonymous on FreezingBlue Flashcards. Goodness of fit test: Compares an observed set of frequencies with an expected set of frequencies Test of independance: Checks to see if independance holds in the population X2 test Conditions: Random SampleSample is large Goodness of fit test Conditions: Fixed number of trialsConstant probability of successIndependant trials X2 test of independance Conditions: Random SampleLarge sample Regression Analysis is used primarily to model : Causality and provide prediction (forecasting).To predict the values of a dependant variable based on values of at least one independant variable.Explain the effect of the independant variables on the dependant variable. Types of Relationships Positive Linear RelationshipNegative Linear RelationshipRelationship Not LinearNo Relationship Regression Conditions: Errors: (distance between a value of y and the population regression line) are:Independant of the independant variable (x)Do not systematically vary with the dependant variable (y)Are independant of time Normality:The errors are normally distributed atound the regression line Homoscedasticity (constant variance):For each x value, the variable of y around the regression line is the same Correlation measures: the degree of linear association between 2 numerical values Covariance measures: how one numerical variabl linearly co-varies with another numerical variables. Strength of Correlation: Very Strong : r > 0.90Strong : 0.75 < r < 0.90Moderate : 0.4 < r < 0.75Weak : r < 0.4Virtually no correlation : r is close to zero Z confidence levels: 90% = 1.64595% = 1.9699% = 2.576 AuthorAnonymous ID90022 Card SetBSNS102 4 DescriptionChi Square tests, Regression, Correlation Updated2011-06-10T10:38:45Z Show Answers