45. Table 1.2 shows the mean annual compensation of construction workers. bab Abor Cesaione TABLE 1.2 Construction Workers' Average Annual Compensation Annual Total Compensation (dollars) Year 1999 42,598 2000 44,764 2001 47,822 2002 48,966 Source: U.S. Bureau of the Census, Statistical Abstract of the United States, 2004-2005. (a) Find the linear regression equation for the data. (b) Find the slope of the regression line. What does the slope represent? (c) Superimpose the graph of the linear regression equation on a scatter plot of the data. (d) Use the regression equation to predict the construction workers' average annual compensation in the year 2008. Tabl

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45. Table 1.2 shows the mean annual compensation of construction
workers.
bab Abor Cesaione
TABLE 1.2 Construction Workers' Average
Annual Compensation
Annual Total Compensation
(dollars)
Year
1999
42,598
2000
44,764
2001
47,822
2002
48,966
Source: U.S. Bureau of the Census, Statistical Abstract of the United States,
2004-2005.
(a) Find the linear regression equation for the data.
(b) Find the slope of the regression line. What does the slope
represent?
(c) Superimpose the graph of the linear regression equation on a
scatter plot of the data.
(d) Use the regression equation to predict the construction workers'
average annual compensation in the year 2008.
Tabl
Transcribed Image Text:45. Table 1.2 shows the mean annual compensation of construction workers. bab Abor Cesaione TABLE 1.2 Construction Workers' Average Annual Compensation Annual Total Compensation (dollars) Year 1999 42,598 2000 44,764 2001 47,822 2002 48,966 Source: U.S. Bureau of the Census, Statistical Abstract of the United States, 2004-2005. (a) Find the linear regression equation for the data. (b) Find the slope of the regression line. What does the slope represent? (c) Superimpose the graph of the linear regression equation on a scatter plot of the data. (d) Use the regression equation to predict the construction workers' average annual compensation in the year 2008. Tabl
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