The number of women in the workforce, based on data and projections from 1950 to 2050, can be modeled by a linear function. The number was 18.4 million in 1950 and is projected to be 81.6 million in 2030. Let x represent the number of years after 1950. (i). What is the slope of the line? (ii). What is the average rate of change in the number of women in the workforce during this time period? (iii). Use the slope from part (i) and the number of millions of women in the workforce in 1950 to write the equation of the line.
The number of women in the workforce, based on data and projections from 1950 to 2050, can be modeled by a linear function. The number was 18.4 million in 1950 and is projected to be 81.6 million in 2030. Let x represent the number of years after 1950. (i). What is the slope of the line? (ii). What is the average rate of change in the number of women in the workforce during this time period? (iii). Use the slope from part (i) and the number of millions of women in the workforce in 1950 to write the equation of the line.
Chapter4: Linear Functions
Section4.3: Fitting Linear Models To Data
Problem 24SE: Table 6 shows the year and the number ofpeople unemployed in a particular city for several years....
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2) The number of women in the workforce, based on data and projections from 1950 to 2050, can be modeled by a linear function. The number was 18.4 million in 1950 and is projected to be 81.6 million in 2030. Let x represent the number of years after 1950.
(i). What is the slope of the line?
(ii). What is the average rate of change in the number of women in the workforce
during this time period?
(iii). Use the slope from part (i) and the number of millions of women in the
workforce in 1950 to write the equation of the line.
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