Pre-Calc/Chapter 7: Systems and Matrices/7.1 Solving Systems of Two Equations/Solve Nonlinear System Algebraically
Solve the system algebraically.y = 15x23x + y = 12
Solve the system algebraically.
y = 15x2
3x + y = 12]]>
1.0000000
0.3333333
0
true
true
abc
and ]]>
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Correct
and ]]>
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
Incorrect
and ]]>
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
Incorrect
and ]]>
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
Incorrect
Solve the system algebraically.y = x3 - x2y = 5x2
Solve the system algebraically.
y = x3 - x2
y = 5x2]]>
1.0000000
0.3333333
0
true
true
abc
(0, 0) and (6, 180)
Correct
(0, 0) and (6, 216)
Incorrect
(0, 0) and (4, 80)
Incorrect
(6, 180)
Incorrect