Mathematics, 30.07.2021 18:30 klbryant2001
Economists have found that the amount of corruption in a country's government is correlated to the gross domestic product (GDP) per capita of that country. This can be modeled by y=1400(1.05)^x where x is the corruption score and y is GDP per capita in dollars. Corruption scores range from 0 to 100 with 0 being highly corrupt and 100 being least corrupt.
What does the y-intercept of this function represent?
A. the corruption score needed for a GDP per capita of zero
B. the increase in GDP per capita for every increase of one in corruption score
C. the GDP per capita of a country with a corruption score of zero
D. the GDP per capita necessary to decrease the corruption score by one
Answers: 1
Mathematics, 21.06.2019 15:40, aaliyahmaile13
Yo y do yall have 2 stars that means yall wrong bro
Answers: 1
Mathematics, 21.06.2019 16:20, PONBallfordM89
Abby is preparing fruit punch for her party. she starts with a bowl filled with liquid that has 1/2 fruit juice and 1/2 sprite, but she decides it's too fruity. so she pours out 1/4 of the liquid, and then fills the bowl up again with sprite. what fraction of the punch is now sprite?
Answers: 1
Mathematics, 22.06.2019 01:30, Falconpride4079
Drag the tiles to the correct boxes to complete the pairs. match the exponential functions with their horizontal asymptotes and y-intercepts. f(x) = 7x − 4 f(x) = 3x+2 + 4 f(x) = 9x+1 − 4 f(x) = 2x + 4 horizontal asymptote and y-intercept exponential function horizontal asymptote: y = 4 y-intercept: (0, 5) arrowboth horizontal asymptote: y = -4 y-intercept: (0, 5) arrowboth horizontal asymptote: y = -4 y-intercept: (0, -3) arrowboth horizontal asymptote: y = 4 y-intercept: (0, 13) arrowboth
Answers: 1
Economists have found that the amount of corruption in a country's government is correlated to the g...
Mathematics, 08.07.2019 21:00
Mathematics, 08.07.2019 21:00
Health, 08.07.2019 21:00
History, 08.07.2019 21:00
History, 08.07.2019 21:00
Computers and Technology, 08.07.2019 21:00
Chemistry, 08.07.2019 21:00