Statistical Analysis for Education and Psychology Researchers

(Jeff_L) #1

axisl value= (f=simplex)
label= (f=simplex justify=right
'Standardized Maths Score')
order=90 to 140 by 10;
axis2 label= (f=simplex
'Teacher estimate of maths
ability')
order= 0 to 10 by 1
value=(f=simplex);
legend1 label=(f=simplex
'KEY:') value=(f=simplex) frame;
plot smaths*maths / frame
legend = legend1
vaxis=axis1 haxis=axis2
hminor=0;
symbol1 c=black v=circle
i=RLCLI95;


title1 f=simplex h=1 'FITTED
LEAST SQUARES REGRESSION LINE
FOR
PREDICTION OF STANDARDIZED';
title2 f=simplex h=1 'MATHS
ABILITY SCORE FROM TEACHER
ESTIMATE OF
MATHS ABILITY';
title3 f=simplex h=1 'WITH
95% CONFIDENCE LEVEL FOR
INDIVIDUAL
PREDICTED VALUES';
run;
proc gplot data=outreg;
axisl value=(f=simplex)
label=(f=simplex justify=right
'Standardized Maths Score')
order=90 to 140 by 10;
axis2 label=(f=simplex
'Teacher estimate of maths
ability')
order= 0 to 10 by 1
value=(f=simplex);
legend1 label=(f=simplex
'KEY:') value=(f=simplex) frame;
plot smaths*maths / frame
legend=legend1
vaxis=axis1 haxis=axis2
hminor=0;
symbol1 c=black v=circle
i=RLCLM95;
title1 f=simplex h=1 'FITTED
LEAST SQUARES REGRESSION LINE
FOR


Appendix 386
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