Percentage of young adults using social networking sites. In 2006, the percentage of 18 to 29 year olds who used social networking sites was 49%. In 2013, that percentage had risen to 89%. ( Source: pewresearch.org. ) a. Use the year as the x -coordinate and the percentage as they-coordinate. Find the equation of the line that contains the data points. b. Use the equation in part (a) to estimate the percentage of young adults using social networking sites in 2014. c. Use the equation m part (a) to estimate the year in which the percentage of young adults using social networking sites will reach 100% d. Explain why a linear equation cannot be used for years after the year found m part (c).
Percentage of young adults using social networking sites. In 2006, the percentage of 18 to 29 year olds who used social networking sites was 49%. In 2013, that percentage had risen to 89%. ( Source: pewresearch.org. ) a. Use the year as the x -coordinate and the percentage as they-coordinate. Find the equation of the line that contains the data points. b. Use the equation in part (a) to estimate the percentage of young adults using social networking sites in 2014. c. Use the equation m part (a) to estimate the year in which the percentage of young adults using social networking sites will reach 100% d. Explain why a linear equation cannot be used for years after the year found m part (c).
Solution Summary: The author calculates the equation of the line that models the percentage of 18-29 year old social networking accounts inyear x.
Percentage of young adults using social networking sites. In 2006, the percentage of 18 to 29 year olds who used social networking sites was 49%. In 2013, that percentage had risen to 89%. (Source: pewresearch.org.)
a. Use the year as the x-coordinate and the percentage as they-coordinate. Find the equation of the line that contains the data points.
b. Use the equation in part (a) to estimate the percentage of young adults using social networking sites in 2014.
c. Use the equation m part (a) to estimate the year in which the percentage of young adults using social networking sites will reach 100%
d. Explain why a linear equation cannot be used for years after the year found m part (c).
Researchers initiated a long-term study of the population of American black bears. One aspect of the study was to develop a model that could be used to predict a bear's weight (since it is not practical to weigh bears in the field). One variable thought to be
related to weight is the length of the bear. The accompanying data represent the lengths and weights of 12 American black bears. Complete parts (a) through (d) below.
Click the icon to view the data table.
Click the icon to view the critical values table.
.....
(a) Which variable is the explanatory variable based on the goals of the research?
O A. The number of bears
B. The weight of the bear
O C. The length of the bear
(b) Draw a scatter diagram of the data. Choose the correct graph below.
O A.
O B.
O C.
D.
A Weight (kg)
180-
AWeight (kg)
180-
ALength (cm)
180-
A Weight (kg)
180-
40-
100
40-
100
Length (cm)
40-
100
40-
100
200
200
200
200
Length (cm)
Weight (kg)
Length (cm)
(c) Determine the linear correlation coefficient between…
badly needed right now, please
Determine whether the data are qualitative or quantitative.
Cholesterol counts for individuals
OQualitative
Quantitative
Calculus, Single Variable: Early Transcendentals (3rd Edition)
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