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2.1 $B6&J,;6$HAj4X78?t$r7W;;$9$kL\E*(B

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[Insert Graph] $B%&%#%s%I%&$N(B [Axes Type] $BMs$G(B Matrix $B$rA*Br$7!"(B [Plot Type] $BMs$G(B 2D $BBP;6I[?^(B $B$rA*Br$7$F(B [OK] $B%\%?%s$r2!$7$F=PNO$rF@$k!#(B

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2.5 $B=PNO7k2L$rFI$`(B

$B$3$N@a$G$O(B2.4$B$N7W;;$K$h$C$F=PNO$5$l$?7W;;7k2L$N2r $B7W;;7k2L$O9TNsI=<($K$J$C$F$*$j!"BP3Q@.J,$,3FJQ?t$NJ,;6!"$=$NB>$N@.J,$,6&J,;6$rI=$9!#(B $B2<$O(B Price$B!J2A3J!K$H(B HP$B!JGONO!K$K$D$$$F$N6&J,;6$HAj4X78?t$K$D$$$F$N%l%]!<%H$G$"$k!#(B 

	***  Covariances for data in:  car.test.frame ***

            Price         HP 
Price 16670364.36 82680.2203
   HP    82680.22   959.7907

	***  Correlations for data in:  car.test.frame ***

          Price        HP 
Price 1.0000000 0.6536433
   HP 0.6536433 1.0000000

$B>e$N7k2L$G!V(B*** Covariances for data in: car.test.frame ***$B!W$K=q$+$l$?<+F0

$B$7$+$7!"$I$NDxEY$NAj4X$,$"$k$+$OFI$_ $BAj4X78?t$O(B 0.65 $B$H$J$j!"$d$d6/$$@5$NAj4X$,$"$k$H$$$($k!#(B

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  1. $B0[>oCM$NM-L5$rD4$Y$k0[>oCM$N1F6A$re$N%G!<%?$,0[>oCM$K$J$C$F$$$k!#(B $B0[>oCM$r4^$a$?Aj4X78?t$O(B0.7$B$H$d$d6/$$Aj4X$r$b$D$,!"(B $B0[>oCM$rH4$$$?Aj4X78?t$O(B0.03$B$H$[$\L5Aj4X$K$J$k!#(B $B$5$i$K0[>oCM$,B8:_$9$k>l9g$O$=$N860x$rD4$Y$k$3$H$b=EMW$G$"$k!#(B
  2. $BAXJL$r9M$($kI,MW@-$rD4$Y$k%G!<%?$K$h$C$F$OA4$F$rF1;~$K8+$k$N$G$O$J$/!"(B $BAXJL$K8+$k$3$H$,I,MW$J>l9g$,$"$k!#(B $B$=$NI,MW@-$,$"$k$+$I$&$+$r;6I[?^$GD4$Y$k!#(B $B$3$3$G!VAXJL$K8+$k!W$H$O=jM?$N%G!<%?A4$F$r$^$H$a$F9M$($k$N$G$O$J$/!"(B $B$$$/$D$+$N%0%k!<%W$KJ,$1$F9M$($k$3$H$G$"$k!#(B $BNc$($P?^(B2.16$B$N;6I[?^$r8+$k$H!"%G!<%?$r%0%k!<%W(BA$B$H%0%k!<%W(BB$B$N(B $B#2$D$KJ,$1$F9M$($?J}$,NI$5$=$&$G$"$k!#(B $BAj4X78?t$r7W;;$7$F$_$k$HA4BN!J%0%k!<%W(BA$B!&(BB$B$r$^$H$a$F9M$($k!K$H$7$F$O(B 0.3$BDx$7$+$J$$$,!"AXJL$K$_$k$H%0%k!<%W(BA$B$G(B 0.45$B!"%0%k!<%W(BB$B$G(B 0.9$B$NAj4X$,$"$k!#(B

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car.test.frame $B%G!<%?$N$9$Y$F$NNLE*JQ?t$K$D$$$F$N6&J,;6!&Aj4X78?t(B $B$K$D$$$F$N%l%]!<%H$r2<$KI=<($9$k!#(B 

	***  Covariances for data in:  car.test.frame ***

               Price      Mileage       Weight        Disp.           HP 
  Price  16670364.36 -12789.80226  1420856.638  107400.4237  82680.22034
Mileage    -12789.80     22.95904    -2014.477    -179.8941    -98.97034
 Weight   1420856.64  -2014.47740   245883.192   21573.3475  11720.29661
  Disp.    107400.42   -179.89407    21573.347    2933.4042   1372.86356
     HP     82680.22    -98.97034    11720.297    1372.8636    959.79068

	***  Correlations for data in:  car.test.frame ***

             Price    Mileage     Weight      Disp.         HP 
  Price  1.0000000 -0.6537541  0.7017999  0.4856769  0.6536433
Mileage -0.6537541  1.0000000 -0.8478541 -0.6931928 -0.6667146
 Weight  0.7017999 -0.8478541  1.0000000  0.8032804  0.7629322
  Disp.  0.4856769 -0.6931928  0.8032804  1.0000000  0.8181881
     HP  0.6536433 -0.6667146  0.7629322  0.8181881  1.0000000

$B$^$:!V(B*** Covariances for data in: car.test.frame ***$B!W$K(B $B=q$+$l$?J,;6!&6&J,;69TNs$K$D$$$F$_$k$3$H$G!"(B $B#2$D$NNLE*$J3NN(JQ?t4V$K@5$N4XO"@-$,$"$k$+Ii$N4XO"@-$,$"$k$+$,H=CG$G$-$k!#(B $BNc$H$7$F(BMileage$B!JG3Hq!K$KCmL\$9$k!#(B Mileage$B$OB>$N$I$NJQ?t$H$bIi$N4XO"@-$,$"$k$3$H$,$o$+$k!#(B

$B$7$+$73F!9$H$jF@$kC10L$,0c$&$?$a!"$=$N@dBPCM$K$D$$$F$OHf3S$,$G$-$:!"(B $B$I$NJQ?t$H$h$j6/$$Aj4X$,$"$k$N$+$O$o$+$i$J$$!#$=$3$G(B $B!V(B*** Correlations for data in: car.test.frame ***$B!W$K=q$+$l$?(B $BAj4X9TNs$r$_$k!#$9$k$H(BMileage$B!JG3Hq!K$H(BWeight$B!J=ENL!K$,(B $B$b$C$H$b6/$$Ii$NAj4X$,$"$k$3$H$,$o$+$k!#$D$^$j!"G3Hq$N$$$$<+F0

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$B?^(B2.17$B$G(B Mileage $B$H(B Weight $BItJ,$r$_$k$H!"(B $B0[>oCM!&AXJL$K9M$($k$3$H$NI,MW@-$OL5$/!"Ii$NAj4X$,$O$C$-$j$H$_$F$N;6I[?^$r$_$F$bBg$-$J0[>oCM$dAXJL$K$_$kI,MW@-$bL5$5$=$&$G$"$j!"(B $B@h$K5a$a$?Aj4X78?t$O3F!9$NAj4X4X78$rI=$7$F$$$k$H$$$($k!#(B

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