# BSNS102 4

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1. Goodness of fit test:
Compares an observed set of frequencies with an expected set of frequencies
2. Test of independance:
Checks to see if independance holds in the population
3. X2 test Conditions:
• Random Sample
• Sample is large
4. Goodness of fit test
Conditions:
• Fixed number of trials
• Constant probability of success
• Independant trials
5. X2 test of independance
Conditions:
• Random Sample
• Large sample
6. 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.
7. Types of Relationships
• Positive Linear Relationship
• Negative Linear Relationship
• Relationship Not Linear
• No Relationship
8. 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
9. Correlation measures:
the degree of linear association between 2 numerical values
10. Covariance measures:
how one numerical variabl linearly co-varies with another numerical variables.
11. Strength of Correlation:
• Very Strong : r > 0.90
• Strong : 0.75 < r < 0.90
• Moderate : 0.4 < r < 0.75
• Weak : r < 0.4
• Virtually no correlation : r is close to zero
12. Z confidence levels:
• 90% = 1.645
• 95% = 1.96
• 99% = 2.576

### Card Set Information

 Author: Anonymous ID: 90022 Filename: BSNS102 4 Updated: 2011-06-10 10:38:45 Tags: Statistics Folders: Description: Chi Square tests, Regression, Correlation Show Answers:

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