QUESTION IMAGE
Question
the data in the table represents a companys profit based on the number of items produced.
profit based on number of items produced
\
which equation best represents the data?
\\(y = -1.026x^2 + 1016.402x - 162075\\)
\\(y = -1.036x^2 + 1024.771x - 163710\\)
\\(y = 298.214x - 66317.667\\)
\\(y = 196.2x - 18710\\)
<pre_analysis>
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"question_count": 1,
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"step_cot",
"multiple_choice_formatter",
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"Quadratic Regression",
"Curve Fitting"
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"current_concepts": [
"Quadratic Regression",
"Curve Fitting",
"Graph Interpretation"
]
}
</pre_analysis>
<reasoning>
Analyze the trend of the data
The data points \((x, y)\) are:
- \((100, -70500)\)
- \((200, 50)\)
- \((300, 50100)\)
- \((400, 80300)\)
- \((500, 90400)\)
- \((600, 78000)\)
The profit \(y\) increases from \(x = 100\) to \(x = 500\) and then decreases at \(x = 600\). This indicates a downward-opening quadratic relationship, so the equation must be of the form \(y = ax^2 + bx + c\) with \(a < 0\).
Test the first quadratic equation
Substitute \(x = 300\) into \(y = -1.026x^2 + 1016.402x - 162075\):
\[
\]
This is extremely close to the table value of \(50100\).
Test the second quadratic equation
Substitute \(x = 300\) into \(y = -1.036x^2 + 1024.771x - 163710\):
\[
\]
Now substitute \(x = 100\) into both equations to compare:
For the first equation:
\[
\]
For the second equation:
\[
\]
The first equation provides a significantly closer fit to the data.
</reasoning>
<answer>
<mcq-correct>(A) \(y = -1.026x^2 + 1016.402x - 162075\)</mcq-correct>
<mcq-option>(B) \(y = -1.036x^2 + 1024.771x - 163710\)</mcq-option>
<mcq-option>(C) \(y = 298.214x - 66317.667\)</mcq-option>
<mcq-option>(D) \(y = 196.2x - 18710\)</mcq-option>
</answer>
<post_analysis>
{
"subject": "Mathematics",
"question_type": "Multiple Choice",
"knowledge_point": [
"Mathematics",
"Algebra",
"Quadratic Regression"
]
}
</post_analysis>
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<pre_analysis>
{
"quality": "clear",
"question_count": 1,
"skills_matched": [
"step_cot",
"multiple_choice_formatter",
"explain_then_answer",
"quick"
],
"needs_drawing": false,
"concepts_used": [],
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"Quadratic Regression",
"Curve Fitting"
],
"current_concepts": [
"Quadratic Regression",
"Curve Fitting",
"Graph Interpretation"
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</pre_analysis>
<reasoning>
Analyze the trend of the data
The data points \((x, y)\) are:
- \((100, -70500)\)
- \((200, 50)\)
- \((300, 50100)\)
- \((400, 80300)\)
- \((500, 90400)\)
- \((600, 78000)\)
The profit \(y\) increases from \(x = 100\) to \(x = 500\) and then decreases at \(x = 600\). This indicates a downward-opening quadratic relationship, so the equation must be of the form \(y = ax^2 + bx + c\) with \(a < 0\).
Test the first quadratic equation
Substitute \(x = 300\) into \(y = -1.026x^2 + 1016.402x - 162075\):
\[
\]
This is extremely close to the table value of \(50100\).
Test the second quadratic equation
Substitute \(x = 300\) into \(y = -1.036x^2 + 1024.771x - 163710\):
\[
\]
Now substitute \(x = 100\) into both equations to compare:
For the first equation:
\[
\]
For the second equation:
\[
\]
The first equation provides a significantly closer fit to the data.
</reasoning>
<answer>
<mcq-correct>(A) \(y = -1.026x^2 + 1016.402x - 162075\)</mcq-correct>
<mcq-option>(B) \(y = -1.036x^2 + 1024.771x - 163710\)</mcq-option>
<mcq-option>(C) \(y = 298.214x - 66317.667\)</mcq-option>
<mcq-option>(D) \(y = 196.2x - 18710\)</mcq-option>
</answer>
<post_analysis>
{
"subject": "Mathematics",
"question_type": "Multiple Choice",
"knowledge_point": [
"Mathematics",
"Algebra",
"Quadratic Regression"
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</post_analysis>