Mastering Lines of Best Fit: By Hand and with Technology

Algebra 2 Grades High School 7:08 Video

Lesson Description

Learn to approximate the line of best fit by hand and using the linear regression feature on a TI-84 calculator. This lesson covers both manual estimation and technological methods for analyzing data.

Video Resource

Line of Best Fit By Hand & Using Linear Regression Ti84

Mario's Math Tutoring

Duration: 7:08
Watch on YouTube

Key Concepts

  • Scatter plots and data representation
  • Line of best fit approximation
  • Linear regression using a TI-84 calculator
  • Equation of a line (y=mx+b and y-y1=m(x-x1))
  • Y-intercept and slope

Learning Objectives

  • Students will be able to estimate the line of best fit by hand on a scatter plot.
  • Students will be able to use a TI-84 calculator to perform linear regression.
  • Students will be able to determine the equation of a line of best fit in slope-intercept form.
  • Students will be able to interpret the equation of the line of best fit.

Educator Instructions

  • Introduction (5 mins)
    Begin by reviewing the concept of scatter plots and their purpose in representing data. Briefly discuss how relationships between variables can be visually identified.
  • Estimating Line of Best Fit by Hand (15 mins)
    Explain the process of drawing a line that best represents the trend in the scatter plot. Emphasize that the line should have roughly equal numbers of points above and below it. Discuss the equation of a line (y = mx + b) and point-slope form (y - y1 = m(x - x1)). Demonstrate how to estimate the slope and y-intercept from the drawn line and write the equation.
  • Linear Regression with TI-84 (20 mins)
    Provide a step-by-step guide on how to enter data points into the TI-84 calculator (STAT -> EDIT). Explain how to perform linear regression (STAT -> CALC -> LinReg(ax+b)). Show how to obtain the equation of the line of best fit (y = ax + b, where 'a' is the slope and 'b' is the y-intercept).
  • Practice and Application (15 mins)
    Provide practice problems where students create scatter plots, estimate the line of best fit by hand, and then use the TI-84 calculator to find the linear regression equation. Compare the results from both methods.
  • Conclusion (5 mins)
    Summarize the key concepts and methods covered in the lesson. Remind students of the importance of understanding both manual and technological approaches to data analysis.

Interactive Exercises

  • Scatter Plot Challenge
    Provide students with a data set and have them create a scatter plot. Then, ask them to estimate the line of best fit by hand and determine its equation. Finally, have them use a TI-84 calculator to find the linear regression equation and compare the results.
  • Data Analysis Scenario
    Present a real-world scenario (e.g., study hours vs. exam scores, height vs. weight) and ask students to collect their own data. Have them create a scatter plot, find the line of best fit, and interpret the results in the context of the scenario.

Discussion Questions

  • What are some real-world scenarios where finding a line of best fit would be useful?
  • How does estimating the line of best fit by hand compare to using linear regression on a calculator? What are the advantages and disadvantages of each method?
  • Why is it important to understand the equation of a line when working with lines of best fit?

Skills Developed

  • Data analysis
  • Estimation and approximation
  • Technological proficiency (TI-84 calculator)
  • Problem-solving
  • Critical thinking

Multiple Choice Questions

Question 1:

What is the purpose of a line of best fit?

Correct Answer: To represent the general trend in a scatter plot.

Question 2:

Which of the following is the slope-intercept form of a linear equation?

Correct Answer: y = mx + b

Question 3:

In the equation y = mx + b, what does 'b' represent?

Correct Answer: Y-intercept

Question 4:

Which calculator function is used for linear regression on a TI-84?

Correct Answer: STAT -> CALC -> LinReg(ax+b)

Question 5:

When estimating the line of best fit by hand, what should you consider?

Correct Answer: Having roughly equal numbers of points above and below the line.

Question 6:

What is the first step when using a TI-84 calculator to find the line of best fit?

Correct Answer: Entering the data points into lists L1 and L2.

Question 7:

The equation of a line of best fit is y = 2x + 3. What is the slope of the line?

Correct Answer: 2

Question 8:

Which of the following describes point-slope form?

Correct Answer: y - y1 = m(x - x1)

Question 9:

What does linear regression do?

Correct Answer: Finds the line that minimizes the sum of the squares of the vertical distances from each data point to the line

Question 10:

What is the line of best fit also known as?

Correct Answer: Regression line

Fill in the Blank Questions

Question 1:

A _______ plot is used to visually represent the relationship between two variables.

Correct Answer: scatter

Question 2:

The equation y = mx + b is in _______-_______ form.

Correct Answer: slope-intercept

Question 3:

On a TI-84 calculator, data points are entered using the STAT then _______ function.

Correct Answer: EDIT

Question 4:

The point where the line crosses the y-axis is called the _______.

Correct Answer: y-intercept

Question 5:

The _______ represents the steepness of a line.

Correct Answer: slope

Question 6:

The _______ function is used to calculate the linear regression line.

Correct Answer: LinReg(ax+b)

Question 7:

The goal when estimating a line of best fit by hand is to have roughly equal numbers of points _______ and _______ the line.

Correct Answer: above, below

Question 8:

The equation y - y1 = m(x - x1) is known as _______-_______ form

Correct Answer: point-slope

Question 9:

In the linear regression equation y = ax + b, the variable 'a' represents the ______.

Correct Answer: slope

Question 10:

A line of best fit helps visualize the _______ in a data set.

Correct Answer: trend