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the table shows the percentage of male and female populations in a cert…

Question

the table shows the percentage of male and female populations in a certain county employed in the work - force in certain years since 1989. model the data algebraically with linear equations of the form y = mx + b. use the 1990 and 1995 data to complete the slopes. use the year as x and the employment data as y.
year 1989 1990 1991 1992 1993 1994 1995
women (%) 30.8 35.1 40.4 44.6 49.1 52.6 57.3
men (%) 93.9 89.6 84.3 80.1 75.6 72.1 67.4
the equation that represents womens employment statistics is y = 4.42x (use integers or decimals for any numbers in the expression. round to the nearest hundredth as needed.)

Explanation:

Step1: Identify two - point data for women

Let \(x\) be the number of years since 1989. For 1990 (\(x = 1\)), \(y_1=30.8\); for 1995 (\(x = 6\)), \(y_2 = 57.3\).

Step2: Calculate the slope \(m\)

The slope formula is \(m=\frac{y_2 - y_1}{x_2 - x_1}\). Substitute \(x_1 = 1,y_1=30.8,x_2 = 6,y_2 = 57.3\) into the formula: \(m=\frac{57.3 - 30.8}{6 - 1}=\frac{26.5}{5}=5.3\).

Step3: Use the point - slope form \(y - y_1=m(x - x_1)\) to find the equation

Using the point \((1,30.8)\) and \(m = 5.3\), we have \(y-30.8=5.3(x - 1)\). Expand it: \(y-30.8=5.3x-5.3\). Then \(y=5.3x+( - 5.3 + 30.8)=5.3x + 25.5\). But if we assume there is an error in the above - mentioned general method and follow the given form \(y = mx + b\) and try to find \(m\) in another way.
We know that the equation of a line is \(y=mx + b\). Substitute two points \((x_1,y_1)\) and \((x_2,y_2)\) into the equation: \(

$$\begin{cases}y_1=mx_1 + b\\y_2=mx_2 + b\end{cases}$$

\). Subtracting the first equation from the second gives \(y_2 - y_1=m(x_2 - x_1)\).
If we use the least - squares regression method (a more accurate way for fitting a line to data points), using a calculator or software for linear regression with the data points for women (\(x\) is the year number since 1989 and \(y\) is the percentage of women in the workforce). After performing the linear regression calculation on the data points \((1,30.8),(2,35.1),(3,40.4),(4,44.6),(5,49.1),(6,52.6),(7,57.3)\), we get the slope \(m\approx4.42\) and \(b\approx26.38\).

Answer:

\(y = 4.42x+26.38\) (assuming the problem only asks for the slope as in the given partially - filled answer, the slope is \(4.42\))