## Correlation to Michigan Algebra 1 Standards

Section 9 Scatter Plots, Bivariate Data Analysis, and Linear Regressions

Lessons 1,2,3,4, 5 and 6

**Lesson: Creating Scatter Plots**

Major Emphasis:

S2.1.1 Construct a scatterplot for a bivariated data set with appropriate labels and scales.

**S2.2.2** Use the equation of the least squares regression line to make appropriate predictions.

**Also Addresses:**

S2.1.2 Given a scatterplot, identify patterns, clusters, and outliers. Recognize no correlation, weak correlation, and
strong correlation.

**S2.1.4** Differentiate between correlation and causation. Know that a strong correlation does not imply a cause-and -effect relationship.
Recognize the role of lurking variables in correlation.

**S2.2.1** For bivariate data that appear to form a linear pattern, find the least squares regression line by estimating visually and by calculating
the equation of the regression line. Interpret the slope of the equation for a regression line.

**L1.2.4** Organize and summarize a data set in a table, plot, chart or spreadsheet; find patterns in a display of data.

**Lesson: Scatter Plots and Correlation**

Major Emphasis:

S2.1.2 Given a scatterplot, identify patterns, clusters, and outliers. Recognize no correlation, weak correlation, and
strong correlation.

**S2.1.4** Differentiate between correlation and causation. Know that a strong correlation does not imply a cause-and -effect relationship.
Recognize the role of lurking variables in correlation.

**Also Addressed:**

S2.1.1 Construct a scatterplot for a bivariated data set with appropriate labels and scales.

**L1.2.4** Organize and summarize a data set in a table, plot, chart or spreadsheet; find patterns in a display of data.

**Lesson: Least Squares Method of Determining Line of Best Fit**

Major Emphasis:

**S2.1.3** Recognize that correlation measures the strength of linear association.

**S2.2.1** For bivariate data that appear to form a linear pattern, find the least squares regression line by estimating visually and by calculating
the equation of the regression line. Interpret the slope of the equation for a regression line.

**Lesson: Linear Correlation and Pearson's Correlation Coefficient**

Major Emphasis:

S2.1.3 Recognize that correlation measures the strength of linear association.

**S2.1.2** Given a scatterplot, identify patterns, clusters, and outliers. Recognize no correlation, weak correlation, and
strong correlation.

**Lesson: Clusters and Outliers**

Major Emphasis:

S2.1.2 Given a scatterplot, identify patterns, clusters, and outliers. Recognize no correlation, weak correlation, and strong correlation.

**Lesson: Scatter Plot Tools - Using MS Excel**

Major Emphasis:

L1.2.4 Organize and summarize a data set in a table, plot, chart or spreadsheet; find patterns in a display of data.

**S2.1.1** Construct a scatterplot for a bivariated data set with appropriate labels and scales.

Protion of a Standard Note Addressed: L1.2.4 Understand and critique data displays in the media.