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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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Making appropriate scatter plotsGet 3 of 4 questions to level up!

Positive and negative linear associations from 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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Correlation coefficient intuitionGet 3 of 4 questions to level up!

Level up on the above skills and collect up to 500 Mastery points

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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Calculating and interpreting residualsGet 3 of 4 questions to level up!

Calculating the equation of the least-squares lineGet 3 of 4 questions to level up!

Interpreting slope and y-intercept for linear modelsGet 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 plotsGet 3 of 4 questions to level up!

Influential pointsGet 3 of 4 questions to level up!

Level up on the above skills and collect up to 600 Mastery points

Up next for you:

Level up on all the skills in this unit and collect up to 1100 Mastery points!#### Unit test

### 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.AP® is a registered trademark of the College Board, which has not reviewed this resource.