*5710 Lab Week of 2-16 Intro to Multiple Regression.

*1. Descriptives for IQ, Gender, and GPA.
EXAMINE
  VARIABLES=Gender IQ GPA
  /PLOT NONE
  /STATISTICS DESCRIPTIVES
  /CINTERVAL 95
  /MISSING LISTWISE
  /NOTOTAL.

*2. Histograms for IQ and GPA.
FREQUENCIES
  VARIABLES=IQ GPA  /FORMAT=NOTABLE
  /HISTOGRAM  NORMAL
  /ORDER=  ANALYSIS .

*Bar graph for Gender.
FREQUENCIES
  VARIABLES=Gender  /FORMAT=NOTABLE
  /BARCHART  FREQ
  /ORDER=  ANALYSIS .

*3. Scatterplot matrix of IQ, Gender, and GPA.
GRAPH
  /SCATTERPLOT(MATRIX)=Gender IQ GPA
  /MISSING=LISTWISE .

*4. Correlations of IQ, Gender, and GPA.
CORRELATIONS
  /VARIABLES=Gender IQ GPA
  /PRINT=TWOTAIL NOSIG
  /MISSING=PAIRWISE .

*5. Regression, IQ and Gender predicting GPA.
REGRESSION
  /MISSING LISTWISE
  /STATISTICS COEFF OUTS R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT GPA
  /METHOD=ENTER Gender IQ  .

*6. Descriptives and histogram for ADDSC.
EXAMINE
  VARIABLES=ADDSC
  /PLOT  HISTOGRAM 
  /STATISTICS DESCRIPTIVES
  /CINTERVAL 95
  /MISSING LISTWISE
  /NOTOTAL.

*7.Scatterplot matrix of ADDSC and GPA.
GRAPH
  /SCATTERPLOT(MATRIX)=ADDSC GPA
  /MISSING=LISTWISE .

*8. Correlation of ADDSC and GPA.
CORRELATIONS
  /VARIABLES=ADDSC GPA
  /PRINT=TWOTAIL NOSIG
  /MISSING=PAIRWISE .

*9. Sequential multiple regression, adding ADDSC to model.
REGRESSION
  /MISSING LISTWISE
  /STATISTICS COEFF OUTS R ANOVA CHANGE
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT GPA
  /METHOD=ENTER Gender IQ  /METHOD=ENTER ADDSC  .

*Additional analyses if extra time.

*T test: social problems and ADD scale.
T-TEST
  GROUPS = SocProb(0 1)
  /MISSING = ANALYSIS
  /VARIABLES = ADDSC
  /CRITERIA = CI(.95) .

*T test: drop out and IQ.
T-TEST
  GROUPS = Dropout(0 1)
  /MISSING = ANALYSIS
  /VARIABLES = IQ
  /CRITERIA = CI(.95) .

*Single sample T test: GPA.
T-TEST
  /TESTVAL = 2.5
  /MISSING = ANALYSIS
  /VARIABLES = GPA
  /CRITERIA = CI(.95) .