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guided practice - ABS Community Portal

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TEKS<br />

2.6<br />

a.5, 2A.1.B<br />

Draw Scatter Plots<br />

and Best-Fitting Lines<br />

Before You wrote equations of lines.<br />

Key Vocabulary<br />

• scatter plot<br />

• positive correlation<br />

• negative correlation<br />

• correlation<br />

coefficient<br />

• best-fitting line<br />

Now You will fit lines to data in scatter plots.<br />

Why? So you can model sports trends, as in Ex. 27.<br />

A scatter plot is a graph of a set of data pairs (x, y). If y tends to increase as x<br />

increases, then the data have a positive correlation. If y tends to decrease as<br />

x increases, then the data have a negative correlation. If the points show no<br />

obvious pattern, then the data have approximately no correlation.<br />

y<br />

Positive<br />

correlation<br />

x<br />

y<br />

Negative<br />

correlation<br />

E XAMPLE 1 Describe correlation<br />

x<br />

2.6 Draw Scatter Plots and Best-Fitting Lines 113<br />

y<br />

Approximately<br />

no correlation<br />

TELEPHONES Describe the correlation shown by each scatter plot.<br />

Cellular Phone Subscribers and<br />

Cellular Service Regions,<br />

1995–2003<br />

Cellular service regions<br />

(thousands)<br />

y<br />

160<br />

120<br />

80<br />

40<br />

Solution<br />

0 0<br />

40 80 120 160 x<br />

Subscribers (millions)<br />

Cellular Phone Subscribers and<br />

Corded Phone Sales,<br />

1995–2003<br />

Corded phone sales<br />

(millions of dollars)<br />

y<br />

550<br />

450<br />

350<br />

250<br />

0<br />

40 80 120 160 x<br />

Subscribers (millions)<br />

The first scatter plot shows a positive correlation, because as the number of<br />

cellular phone subscribers increased, the number of cellular service regions<br />

tended to increase.<br />

The second scatter plot shows a negative correlation, because as the number of<br />

cellular phone subscribers increased, corded phone sales tended to decrease.<br />

x

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