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How well do you understand the concepts and skills introduced in this lesson?

Are you ready to take this lesson's quiz? The questions below will help you find out. Make sure you understand why each correct answer is correct—if you don't, review that part of the lesson.

Which domain on the scatterplot could be modeled with a linear equation?

A detailed description of this image follows in the next paragraph.

A non-linear scatter plot with the ordered pairs (0.75, 2), (1.5, 1.75), (3, 2), (3.5, 3), (4, 4.25), (4.25, 3.5), (5, 5), (5.25, 6.25), (5.5, 5.5), (6.25, 6.75), (8.25, 7.75), and (9.5, 7) plotted.

  1. \( x \)-values from 0 to 10
  2. \( y \)-values from 2 to 7
  3. \( x \)-values from 6.25 to 9.5

This domain covers the entire data set. The data set as a whole is non-linear, so it cannot be modeled with a linear equation. The linear portion of the data is shown in the scatterplot below:

The domain is always based on \( x \)-values, not \( y \)-values. The linear portion of the data is shown in the scatterplot below:

Although the data in this domain is linear, it is a very small portion of the entire data set. There is a linear portion of the data that includes a much larger portion of the data. This is shown in the scatterplot below:

The linear portion of the data is shown on the scatterplot below:

Which points could be ignored as outliers so that the data can be modeled with a straight line?

A detailed description of this image follows in the next paragraph.

A non-linear scatter plot with the ordered pairs (0.5, 5.25), (1.75, 5.5), (2, 6), (3, 7.75), (5.25, 7), (5.75, 6.75), (6, 7.25), (7.5, 8), and (9, 6) plotted.

  1. (9, 6) and (7.5, 8)
  2. (3, 7.75) and (7.5, 8)
  3. (3, 7.75), (9, 6), and (7.5, 8)

There is a linear association as shown in the scatterplot below:

There is a linear association as shown in the scatterplot below:

There is a linear association as shown in the scatterplot below:

There is a linear association as shown in the scatterplot below:

Which scatterplot shows the BEST linear model for the non-linear data shown?

  1. A detailed description of this image follows in the next paragraph.

    A non-linear scatter plot with the ordered pairs (0.5, 5.5), (1, 7), (3, 7.75), (3.75, 7.5), (4, 7), (5, 6.5), (6, 6.75), (7, 6), (8, 6), and (9, 4) plotted. A possible line of best fit is drawn through the ordered pairs (3, 6.75) and (9.25, 5.5).

  2. A detailed description of this image follows in the next paragraph.

    A non-linear scatter plot with the ordered pairs (0.5, 5.5), (1, 7), (3, 7.75), (3.75, 7.5), (4, 7), (5, 6.5), (6, 6.75), (7, 6), (8, 6), and (9, 4) plotted. A possible line of best fit is drawn through the ordered pairs (0.25, 7.5) and (7.5, 6.25).

  3. A detailed description of this image follows in the next paragraph.

    A non-linear scatter plot with the ordered pairs (0.5, 5.5), (1, 7), (3, 7.75), (3.75, 7.5), (4, 7), (5, 6.5), (6, 6.75), (7, 6), (8, 6), and (9, 4) plotted. A possible line of best fit is drawn through the ordered pairs (0.5, 9.25) and (9.25, 3.5).

The linear portion of the data is in the domain that includes the \( x \)-values from 3 to 8. The line on this graph is centered and balanced on the linear data. This is the line of best fit for the linear data.

The linear portion of the data is in the domain that includes the \( x \)-values from 3 to 8. This line is centered and balanced for the entire set of data. This does not work because the entire set of data is non-linear.

The linear portion of the data is in the domain that includes the \( x \)-values from 3 to 8. This line is not balanced on the linear data because there are too many data points above the line on the left side and below the line on the right side.

The linear portion of the data is in the domain that includes the \( x \)-values from 3 to 8. This line looks at the data on the domain from 3 to 9. The point at (9, 4) should not be included in the linear portion of the data because it is lower than the linear pattern.

Summary

Questions answered correctly:

Questions answered incorrectly: