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NeTakaya
3 years ago
7

Bryan owes his friend more than $1,610 from a loan. Bryan has already paid his friend back $206 and continues to pay him $156 ea

ch month. Which of the following inequalities could be used to solve for x, the number of months after making the $206 payment that Bryan needs to continue paying back his loan?
Mathematics
2 answers:
Maurinko [17]3 years ago
7 0
Bankruptcy sounds good in Bryan’s words
Genrish500 [490]3 years ago
6 0
Owes more than 1425
owe>1425

owed musbe be equal to how much he paid back

paid back 210

and 153 per month is paid back (represent number of months by x)
so
owe=210+152x

210+153x>1425
153x+210>1425

Don't know if this is right or if it helps but
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x-4y=8

Hope this helps!

3 0
4 years ago
Madie drove 200 miles at a speed of 50 miles per hour. Which equation will help you find the number of hours she was driving? St
aalyn [17]

Answer:

  StartFraction 50 miles Over 1 hour EndFraction = StartFraction 200 miles Over question mark hours EndFraction

Step-by-step explanation:

For constant speed, miles and hours are proportional. One possible equation is ...

  \dfrac{50\,\text{miles}}{1\,\text{hour}}=\dfrac{200\,\text{miles}}{?\,\text{hours}}\qquad\text{matches the first choice}

_____

<em>Comment on the solution</em>

I personally like to put the unknown in the numerator, so the equation can be solved in one step. The equation above requires two steps: one to cross-multiply, and one to divide by 50.

I might write the equation as ...

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Another way to write the equation is matching the ratios of times to corresponding miles:

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3 0
4 years ago
Read 2 more answers
For each of parts (a) through (d), indicate whether we would generally expect the performance of a flexible statistical learning
olga_2 [115]

Step-by-step explanation:

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In this case since the sample size is extremely large a flexible model is a best fit.

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In such case overfiting the data is more likely because of of the small observations.

c) The relationship between the predictors and response is highly non-linear. (BETTER)

The flexible method would be a better fit.

d) The variance of the error terms, i.e. σ2=Var(ϵ), is extremely high. (WORSE)

In such case, using a flexible model is a best fit for the error terms because it can be adjusted.

6 0
3 years ago
20 points+brainliest!
lakkis [162]

Answer:

C, D, E

Step-by-step explanation:

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