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TRAINERS : BIZIMANA Appolinaire
HABINSHUTI Cyprien
IMANISHIMWE Valentine
Department of Applied Statistics
UNIVERSITY OF RWANDA
December,06.2014
Introduction
This method called « Analysis of the
Correlation» is used when assessing the
relationship between two quantitative.
The procedure of this method produces
the Pearson correlation coefficient
Procedure
Analyze Correlate Bivariate
Select the two interesting variables, put
them by using the arrow in the required
are then click on Ok. By clicking on
Options, choose the desired statistical
parameters
Introduction
This method is used when in need of
explaining a quantitative variable by one
or several quantitative variables
Example :The total expenditure is
depending on the amount spent on
games, amount spent on clothes.
Note:This technique requires
advanced notions of multivariate
Statistics (Linear Models)
• Procedure in SPSS
Analyze Regression Linear
EXERCISES
P-value< level of significance :reject
null hypothesis
P-value>level of significance fail to
reject null hypothesis
Syntax.This language is used for
programming SPSS procedures. It is the
more important language.
The main advantage is the massive
saving of time and effort.
Continue writing code this way. Choose a
procedure and click on the button
"Paste" instead of
"OK." And continue…
RUN / ALL (or RUN / SELECTION) or click
on the icon with the right-arrow sign
(shown in the next picture.)
Analysis by using spss

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Analysis by using spss

  • 1. TRAINERS : BIZIMANA Appolinaire HABINSHUTI Cyprien IMANISHIMWE Valentine Department of Applied Statistics UNIVERSITY OF RWANDA December,06.2014
  • 2. Introduction This method called « Analysis of the Correlation» is used when assessing the relationship between two quantitative. The procedure of this method produces the Pearson correlation coefficient Procedure Analyze Correlate Bivariate
  • 3. Select the two interesting variables, put them by using the arrow in the required are then click on Ok. By clicking on Options, choose the desired statistical parameters
  • 4.
  • 5. Introduction This method is used when in need of explaining a quantitative variable by one or several quantitative variables Example :The total expenditure is depending on the amount spent on games, amount spent on clothes.
  • 6. Note:This technique requires advanced notions of multivariate Statistics (Linear Models) • Procedure in SPSS Analyze Regression Linear
  • 7.
  • 9. P-value< level of significance :reject null hypothesis P-value>level of significance fail to reject null hypothesis
  • 10. Syntax.This language is used for programming SPSS procedures. It is the more important language. The main advantage is the massive saving of time and effort.
  • 11. Continue writing code this way. Choose a procedure and click on the button "Paste" instead of "OK." And continue… RUN / ALL (or RUN / SELECTION) or click on the icon with the right-arrow sign (shown in the next picture.)