Exponential Regression

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What is an exponential function?

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An exponential function is a mathematical function of the form f(x) = a * b^x, where 'a' is a constant, 'b' is a positive real number, and 'x' is the exponent. It represents growth or decay processes.

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What is exponential growth?

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Exponential growth occurs when the growth rate of a value is proportional to its current value, leading to a rapid increase over time. Example: f(x) = 2(3^x) represents exponential growth.

Tags

CCSS.HSF-IF.C.8B

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What is exponential decay?

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Exponential decay is the decrease of a quantity at a rate proportional to its current value, leading to a rapid decrease over time. Example: f(x) = 2(1/7)^x represents exponential decay.

Tags

CCSS.HSF-IF.C.8B

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How do you identify exponential decay from a function?

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A function is identified as exponential decay if the base of the exponent is between 0 and 1 (0 < b < 1). For example, f(x) = 100(0.87)^x.

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What is a quadratic function?

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A quadratic function is a polynomial function of degree 2, typically in the form f(x) = ax^2 + bx + c, where 'a', 'b', and 'c' are constants.

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What is the general form of a quadratic equation?

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The general form of a quadratic equation is ax^2 + bx + c = 0, where 'a' is not equal to zero.

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What is a scatter plot?

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A scatter plot is a graphical representation of two variables, showing the relationship between them using points on a Cartesian plane.

Tags

CCSS.8.SP.A.1

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What does it mean if a scatter plot shows no relationship?

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If a scatter plot shows no relationship, the points are scattered randomly without any discernible pattern, indicating that changes in one variable do not affect the other.

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CCSS.HSS.ID.B.5

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What is the purpose of regression analysis?

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Regression analysis is used to determine the relationship between variables and to model the data to make predictions.

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CCSS.HSF-LE.A.1B

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What is the difference between linear and quadratic regression?

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Linear regression fits a straight line to the data, while quadratic regression fits a parabolic curve, allowing for a more complex relationship.