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Exploring bivariate numerical data

AP Stats: DAT (BI), DAT‑1 (EU), UNC (BI), UNC‑1 (EU)
AP Stats: DAT (BI), DAT‑1 (EU), DAT‑1.A (LO), DAT‑1.A.1 (EK), DAT‑1.A.2 (EK), DAT‑1.A.3 (EK), DAT‑1.A.4 (EK), DAT‑1.A.5 (EK), DAT‑1.A.6 (EK), UNC (BI), UNC‑1 (EU), UNC‑1.S (LO), UNC‑1.S.1 (EK), UNC‑1.S.2 (EK), UNC‑1.S.3 (EK)
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Constructing a scatter plotExample of direction in scatterplotsPositive and negative associations in scatterplotsBivariate relationship linearity, strength and directionDescribing scatterplots (form, direction, strength, outliers)
Practice
Making appropriate scatter plotsGet 3 of 4 questions to level up!
Describing trends in scatter plotsGet 3 of 4 questions to level up!
Describing scatterplotsGet 3 of 4 questions to level up!
AP Stats: DAT (BI), DAT‑1 (EU), DAT‑1.B (LO), DAT‑1.B.1 (EK), DAT‑1.B.2 (EK), DAT‑1.C (LO), DAT‑1.C.1 (EK)
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Calculating correlation coefficient rExample: Correlation coefficient intuition
Practice
Correlation coefficient intuitionGet 3 of 4 questions to level up!
AP Stats: DAT (BI), DAT‑1 (EU), DAT‑1.D (LO), DAT‑1.D.1 (EK), DAT‑1.D.2 (EK), DAT‑1.E (LO), DAT‑1.E.1 (EK), DAT‑1.G (LO), DAT‑1.G.1 (EK), DAT‑1.G.2 (EK), DAT‑1.G.3 (EK), DAT‑1.H (LO), DAT‑1.H.1 (EK), DAT‑1.H.2 (EK), DAT‑1.H.3 (EK)
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Introduction to residuals and least-squares regressionCalculating residual exampleCalculating the equation of a regression lineInterpreting slope of regression lineInterpreting y-intercept in regression modelUsing least squares regression output
Practice
Calculating and interpreting residualsGet 3 of 4 questions to level up!
Using least-squares regression outputGet 3 of 4 questions to level up!
AP Stats: DAT (BI), DAT‑1 (EU), DAT‑1.E (LO), DAT‑1.E.2 (EK), DAT‑1.F (LO), DAT‑1.F.1 (EK), DAT‑1.F.2 (EK), DAT‑1.G (LO), DAT‑1.G.4 (EK), DAT‑1.I (LO), DAT‑1.I.1 (EK), DAT‑1.I.3 (EK)
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Residual plotsR-squared intuitionR-squared or coefficient of determinationStandard deviation of residuals or root mean square deviation (RMSD)Interpreting computer regression dataInterpreting computer output for regressionImpact of removing outliers on regression lines
Practice
Residual plotsGet 3 of 4 questions to level up!
Influential pointsGet 3 of 4 questions to level up!

About this unit

We use scatter plots to explore the relationship between two quantitative variables, and we use regression to model the relationship and make predictions. This unit explores linear regression and how to assess the strength of linear models.
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