Functions, Linear Equations, and Scatter Plot Analysis

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Description and Tags

Vocabulary flashcards covering function notation, evaluating linear equations, interpreting contextual word problems, and analyzing scatter plots and residual plots.

11 Terms

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Function Table Evaluation

The process of identifying corresponding inputs and outputs using a tabular representation of a function f(x)f(x), such as determining that f(5)=23f(5) = 23, f(−5)=17f(-5) = 17, and f(−2)=−5f(-2) = -5.

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Fractional Time Input in Function Notation

The representation of elapsed time as a decimal within a function's input, such as writing 1:30 am (1 hour and 30 minutes after midnight) as t=1.5t = 1.5 in the equation f(1.5)=20f(1.5) = 20.

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Function Inequality Comparison

Using inequality symbols to compare output values at different inputs, such as f(9)>f(18)f(9) > f(18) to express that the temperature at 9 am (t=9t = 9) was warmer than at 6 pm (t=18t = 18).

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Function Value at Zero Input (g(0)g(0))

The base value or initial cost modeled by a function before any additional units are added, such as g(0)=10g(0) = 10 representing a Garden salad with 0 additional ingredients costing 10 dollars.

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Linear Equation from Table Values

The algebraic rule of the form y=mx+by = mx + b determined by calculating the slope and yy-intercept from a data table; for coordinates (0,9)(0, 9), (1,6)(1, 6), (2,3)(2, 3), and (3,0)(3, 0), the equation is y=−3x+9y = -3x + 9.

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Goodness of Fit (Residual Plot Criterion)

An assessment showing that a linear model appropriately fits data when the line passes through the center of the scatter plot points and the corresponding residuals are randomly dispersed around zero without a distinct pattern.

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Optimal Residual Plot

A residual plot corresponding to the best line of fit, characterized by data points scattered closely and randomly both above and below the horizontal zero line rather than showing a systematic curved or slanted trend.

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Correlation Coefficient (rr-value)

A statistical metric that evaluates the strength and direction of a linear relationship between two quantitative variables, such as the number of traffic tickets and car insurance cost.

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Negative Slope Line of Fit

A linear model whose output decreases as the input increases, such as y=−713x+9y = \frac{-7}{13}x + 9, which has a yy-intercept of (0,9)(0, 9) and passes through the point (13,2)(13, 2).

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Strong Positive Relationship

A bivariate data pattern where points cluster tightly along an upward-sloping trend, demonstrating that increases in one variable (such as office space size in square feet) directly correspond to increases in the other variable (such as annual rent in dollars).

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No Correlation

The type of relationship between two variables that occurs when the xx value has no effect on or association with the yy value.