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Summary Statistics 2 SPSS
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This is a guideline to help you with statistics 2 in SPSS.
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STATISTICS 2, TABLE OF CONTENTS
How to do it in SPSS? ......................................................................................................... 3
Creating a scatterplot .................................................................................................................. 3
Covariance and correlation ......................................................................................................... 3
Simple linear regression .............................................................................................................. 3
Visually testing model assumptions ............................................................................................ 3
Testing linearity and heteroskedasticity ...................................................................................... 3
Visually testing normality ............................................................................................................ 3
95% confidence intervals............................................................................................................. 4
Prediction intervals and confidence intervals .............................................................................. 4
Obtaining Beta’s for multiple linear regression (MLR) ................................................................. 4
Partial F test ................................................................................................................................ 4
Excel notations .................................................................................................................. 5
Critical Values ............................................................................................................................. 5
P-Values ...................................................................................................................................... 5
Hypothesis testing ............................................................................................................. 6
5-Step Critical Vlaue Method for Hypothesis Testing ................................................................... 6
F-test .......................................................................................................................................... 7
Visually inspect data ......................................................................................................... 8
model assumptions ........................................................................................................... 9
Simple linear regression .................................................................................................. 10
ANOVA ............................................................................................................................ 11
Multiple linear regression ................................................................................................ 12
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