A.ST.1: Finding curve of best fit using Quadratic Model-12/1/24

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Mathematics
•
9th - 12th Grade
•
Hard
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15 questions
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1.
FLASHCARD QUESTION
Front
What is a quadratic model?
Back
A quadratic model is a mathematical representation of a relationship between variables that can be expressed in the form of a quadratic equation, typically written as y = ax² + bx + c, where a, b, and c are constants.
2.
FLASHCARD QUESTION
Front
How do you find the curve of best fit for a set of data points?
Back
To find the curve of best fit, you can use methods such as least squares regression, which minimizes the sum of the squares of the differences between the observed values and the values predicted by the model.
3.
FLASHCARD QUESTION
Front
What does the vertex of a quadratic function represent?
Back
The vertex of a quadratic function represents the maximum or minimum point of the parabola, depending on the direction it opens. It is the point where the function changes direction.
4.
FLASHCARD QUESTION
Front
What is the significance of the 'a' value in a quadratic equation?
Back
The 'a' value determines the direction of the parabola (upward if a > 0, downward if a < 0) and affects the width of the parabola (narrower if |a| is large, wider if |a| is small).
5.
FLASHCARD QUESTION
Front
How can you use a quadratic model to make predictions?
Back
You can use a quadratic model to make predictions by substituting the value of the independent variable (x) into the quadratic equation to find the corresponding dependent variable (y).
6.
FLASHCARD QUESTION
Front
What is the purpose of using a line of best fit?
Back
The purpose of using a line of best fit is to summarize the relationship between two variables in a dataset, allowing for predictions and insights about trends.
7.
FLASHCARD QUESTION
Front
What is interpolation in the context of quadratic models?
Back
Interpolation is the process of estimating unknown values within the range of a set of known data points using a model, such as a quadratic equation.
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