Mathematics, 08.11.2019 05:31 20hadams

# You have a bag of marbles. there are 10 red marbles, 80 green marbles and 110 orange marbles. you get one marble out and record what it is before putting it back and shaking the bag. if you repeated this process 50 times, about how many green marbles would you get?

Answers: 1

Mathematics, 21.06.2019 17:00

You have $600,000 saved for retirement. your account earns 5.5% interest. how much, to the nearest dollar, will you be able to pull out each month, if you want to be able to take withdrawals for 20 years?

Answers: 1

Mathematics, 21.06.2019 22:00

Asystem of linear equations with more equations than unknowns is sometimes called an overdetermined system. can such a system be consistent? illustrate your answer with a specific system of three equations in two unknowns. choose the correct answer below. a. yes, overdetermined systems can be consistent. for example, the system of equations below is consistent because it has the solution nothing. (type an ordered pair.) x 1 equals 2 comma x 2 equals 4 comma x 1 plus x 2 equals 6 b. no, overdetermined systems cannot be consistent because there are fewer free variables than equations. for example, the system of equations below has no solution. x 1 equals 2 comma x 2 equals 4 comma x 1 plus x 2 equals 12 c. yes, overdetermined systems can be consistent. for example, the system of equations below is consistent because it has the solution nothing. (type an ordered pair.) x 1 equals 2 comma x 2 equals 4 comma x 1 plus x 2 equals 8 d. no, overdetermined systems cannot be consistent because there are no free variables. for example, the system of equations below has no solution. x 1 equals 2 comma x 2 equals 4 comma x 1 plus x 2 equals 24

Answers: 3

Mathematics, 21.06.2019 22:00

The correlation coefficient between two quantitative variables is approximately 0.04. what does the value of this correlation coefficient indicate about how well the model fits the data a. the correlation coefficient is not with in the correct range. b. the model is a good fit. c. no conclusion can be drawn regarding how well the model fits the data. d. the model is not a good fit.

Answers: 3

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