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  2. Scatterplot smoothing - Wikipedia

    en.wikipedia.org/wiki/Scatterplot_smoothing

    This line attempts to display the non-random component of the association between the variables in a 2D scatter plot. Smoothing attempts to separate the non-random behaviour in the data from the random fluctuations, removing or reducing these fluctuations, and allows prediction of the response based value of the explanatory variable .

  3. Scatter plot - Wikipedia

    en.wikipedia.org/wiki/Scatter_plot

    A scatter plot, also called a scatterplot, scatter graph, scatter chart, scattergram, or scatter diagram, [2] is a type of plot or mathematical diagram using Cartesian coordinates to display values for typically two variables for a set of data. If the points are coded (color/shape/size), one additional variable can be displayed.

  4. Partial regression plot - Wikipedia

    en.wikipedia.org/wiki/Partial_regression_plot

    The influences of individual data values on the estimation of a coefficient are easy to see in this plot. It is easy to see many kinds of failures of the model or violations of the underlying assumptions (nonlinearity, heteroscedasticity, unusual patterns). . Partial regression plots are related to, but distinct from, partial residual plots.

  5. List of probability distributions - Wikipedia

    en.wikipedia.org/wiki/List_of_probability...

    The log-normal distribution, describing variables which can be modelled as the product of many small independent positive variables. The Lomax distribution; The Mittag-Leffler distribution; The Nakagami distribution; The Pareto distribution, or "power law" distribution, used in the analysis of financial data and critical behavior.

  6. Applied behavior analysis - Wikipedia

    en.wikipedia.org/wiki/Applied_behavior_analysis

    ABA is an applied science devoted to developing procedures which will produce observable changes in behavior. [3] [9] It is to be distinguished from the experimental analysis of behavior, which focuses on basic experimental research, [10] but it uses principles developed by such research, in particular operant conditioning and classical conditioning.

  7. Partial residual plot - Wikipedia

    en.wikipedia.org/wiki/Partial_residual_plot

    In applied statistics, a partial residual plot is a graphical technique that attempts to show the relationship between a given independent variable and the response variable given that other independent variables are also in the model.

  8. Identity line - Wikipedia

    en.wikipedia.org/wiki/Identity_line

    In this case, the plotted points are quantiles, making it a Q–Q plot. The Keynesian cross diagram includes an identity line to show states in which aggregate demand equals output In a 2-dimensional Cartesian coordinate system , with x representing the abscissa and y the ordinate , the identity line [ 1 ] [ 2 ] or line of equality [ 3 ] is the ...

  9. Homoscedasticity and heteroscedasticity - Wikipedia

    en.wikipedia.org/wiki/Homoscedasticity_and...

    “Skedasticity” comes from the Ancient Greek word “skedánnymi”, meaning “to scatter”. [ 1 ] [ 2 ] [ 3 ] Assuming a variable is homoscedastic when in reality it is heteroscedastic ( / ˌ h ɛ t ər oʊ s k ə ˈ d æ s t ɪ k / ) results in unbiased but inefficient point estimates and in biased estimates of standard errors , and may ...