Algebra I Unit 12

Big Idea:

Collect, model, and interpret data by distinguishing between linear, quadratic, and exponential functions.

Student Expectations:

Focus TEKS

A.4(A) [Supporting] calculate, using technology, the correlation coefficient between two quantitative variables and interpret this quantity as a measure of the strength of the linear association

Ongoing TEKS

A.4(B) [Supporting] compare and contrast association and causation in real-world problems

A.4(C) [Supporting] write, with and without technology, linear functions that provide a reasonable fit to data to estimate solutions and make predictions for real-world problems

A.8(B) [Supporting] write, using technology, quadratic functions that provide a reasonable fit to data to estimate solutions and make predictions for real-world problems

A.9(E) [Supporting] write, using technology, exponential functions that provide a reasonable fit to data and make predictions for real-world problems

Student Learning Targets:

• I will use the correlation coefficient to describe the strength and direction of two numerical values
• I will describe a linear relationship between two linear variables in terms of direction and strength
• I will calculate the correlation coefficient
• I will distinguish between association and causation
• I will use the equation for the line of best fit to make predictions about data
• I will distinguish between a scatterplot that represents a linear relationships and those that do not represent a linear relationship

Essential Questions:

• How can we determine if data has been analyzed with fidelity? How can data analysis be compromised?
• Why is it important to identify the type of data you are using before making a line of best fit?

Extra Information:

Adopted Textbook: McGraw-Hill Algebra I

District Grading Policy

Texas Gateway Online Resource Center