Worksheets | Michigan Table of Contents


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.