When the model is estimated by the least squares method with matrix representation: B2 =? O -1,777 0,612 3,458 -2,753 2,821 When the model is estimated by the least squares method with matrix representation: B3 =? 3,458 -2,753 -1,777 2,821 O 0,612 )When the model is estimated by the least squares method with matrix representation: R2 =? 0,84 0,7' 0,94 0,68 0,89

Elements Of Electromagnetics
7th Edition
ISBN:9780190698614
Author:Sadiku, Matthew N. O.
Publisher:Sadiku, Matthew N. O.
ChapterMA: Math Assessment
Section: Chapter Questions
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(Question) In the table, MPG (average miles per gallon), SP (top speed), HP (engine horsepower)
and WT (vehicle weight) information are given for 40 cars.
MPG; = B1 + B2SP; + B3HP; + B,WT; + û;
a) When the model is estimated by the least squares method with matrix representation; B2 =?
%3D
-1,777
0,612
3,458
-2,753
2,821
b) When the model is estimated by the least squares method with matrix representation; B3 =?
%3D
3,458
-2,753 O -1,777
2,821
0,612
c) When the model is estimated by the least squares method with matrix representation: R2 =?
0,84
O 0,7
0,94
0,68
0,89
d) When the model is estimated by the least squares method with matrix representation; ô =?
6,785
O 1,487
17,680
12,348
4,205
e) When the model is estimated by least squares method with matrix representation; Var(B,) =?
O 2,169
105,987
0,528
1,144
3,458
Transcribed Image Text:(Question) In the table, MPG (average miles per gallon), SP (top speed), HP (engine horsepower) and WT (vehicle weight) information are given for 40 cars. MPG; = B1 + B2SP; + B3HP; + B,WT; + û; a) When the model is estimated by the least squares method with matrix representation; B2 =? %3D -1,777 0,612 3,458 -2,753 2,821 b) When the model is estimated by the least squares method with matrix representation; B3 =? %3D 3,458 -2,753 O -1,777 2,821 0,612 c) When the model is estimated by the least squares method with matrix representation: R2 =? 0,84 O 0,7 0,94 0,68 0,89 d) When the model is estimated by the least squares method with matrix representation; ô =? 6,785 O 1,487 17,680 12,348 4,205 e) When the model is estimated by least squares method with matrix representation; Var(B,) =? O 2,169 105,987 0,528 1,144 3,458
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