Bivariate Data: Scatter Plots and Trend Lines

8 lessons

Goal

Construct scatter plots, identify linear and nonlinear patterns, fit informal trend lines, and interpret slope and intercepts.

Constructing and Interpreting Scatter Plots for Bivariate Quantitative Data

8 lessons

0 of 8 done

Constructing and Interpreting Scatter Plots for Bivariate Quantitative DataUp next
Identifying Direction and Strength in Linear AssociationsPremiumNot started yet
Identifying Non-Linear Patterns in Scatter PlotsNot started yet
Detecting Clusters and Outliers in Bivariate DataNot started yet
Informally Fitting a Trend Line to Scatter Plot DataNot started yet
Writing the Linear Equation of a Trend LineNot started yet
Interpreting Slope and y-Intercept in Real-World ContextNot started yet
Making Predictions Using Linear Models: Interpolation and ExtrapolationNot started yet

Standards Covered

Curriculum Framework

7 lessons

Plan data collection studies, differentiate parameters from statistics, and evaluate sampling designs for bias and variation.

6 lessons

Calculate and interpret mean, median, mode, and weighted averages while evaluating the impact of extreme values.

6 lessons

Quantify data spread using quartiles, IQR, mean absolute deviation, sum of squared deviations, and sample/population variance.

6 lessons

Construct and interpret histograms and box plots to analyze shape, center, spread, and outliers across data sets.

8 lessons

Construct scatter plots, identify linear and nonlinear patterns, fit informal trend lines, and interpret slope and intercepts.

5 lessons

Construct two-way frequency and relative frequency tables and evaluate associations using conditional distributions.

6 lessons

Calculate theoretical and experimental probabilities, use Venn diagrams, and apply the complement rule and law of large numbers.

6 lessons

Calculate compound probabilities using tree diagrams, counting principles, two-way tables, and probability simulations.