Google Classroom
GeoGebraGeoGebra Classroom

IM Alg1.3.5 Lesson: Fitting Lines

Which of the lines is the best fit for the data in the scatter plot? Explain your reasoning.

1.2.

3.4.


Here is a set of cards that show scatter plots.

Arrange all the cards in three different ways. Ensure that you and your partner agree on the arrangement before moving on to the next one. 

Sort all the cards in order from best to worst for representing with a linear model.

Sort all the cards in order from least to greatest slope of a linear model that fits the data well.

Sort all the cards in order from least to greatest vertical intercept of a linear model that fits the data well.

For each card, write a sentence that describes how  changes as  increases and whether the linear model is a good fit for the data or not.

The weight of ice cream sold at a small store in pounds (x) and the average temperature outside in degrees Celsius (y) are recorded in the table.


For this data, create a scatter plot and a line that fits the data well. The data in the first column will be represented by the horizontal coordinates, and the data in the second column will be represented by the vertical coordinates. Adjust the moveable points, to fit the dashed line to the data set as closely as possible.

Use technology to compute the best fit line. Round any numbers to 2 decimal places.

What are the values for the slope and -intercept for the best fit line? What do these values mean in this situation?

Use the best fit line to predict the  value when  is 10. Is this a good estimate for the data? Explain your reasoning.

Your teacher will assign a table of data from the previous activity.

Following your teacher’s directions, use technology and the table of data to create a scatter plot that also shows the line of best fit, and then interpret the slope and -intercept. Tables for last question:

A. (card A in the previous activity)B. (card B in the previous activity)C. (card C in the previous activity)D. (card E in the previous activity)E. (card F in the previous activity)


Priya uses several different ride services to get around her city.

The table shows the distance, in miles, she traveled during her last 10 trips and the price of each trip, in dollars. Priya creates a scatter plot of the data using the distance, , and the price, . She determines that a linear model is appropriate to use with the data. Use technology to find the equation of a line of best fit.

Interpret the slope and the -intercept of the equation of the line of best fit in this situation.

Use the line of best fit to estimate the cost of a 3.6-mile trip. Will this estimate be close to the actual value? Explain your reasoning.

On her next trip, Priya tries a new ride service and travels 3.6 miles, but pays only $4.00 because she receives a discount. Include this trip in the table and calculate the equation of the line of best fit for the 11 trips. Did the slope of the equation of the line of best fit increase, decrease, or stay the same? Why? Explain your reasoning.

Priya uses the new ride service for her 12th trip. She travels 4.1 miles and is charged $24.75. How do you think the slope of the equation of the line of best fit will change when this 12th trip is added to the table?