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Kay [80]
2 years ago
10

Look at the equation below. Identify which equation has no solution

Mathematics
1 answer:
IgorC [24]2 years ago
4 0

Answer:

C

Step-by-step explanation:

24a-22  = -4(1-6a)\\\\\implies 24a-22  = -4+24a\\\\\implies -22 = -4\\\\\text{Which is not true, so no solutions exist.}

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Autumn drives 825 miles to Florida. The trip takes her 17 hours. She uses 38 gallons of gas on the trip, which cost her $125. Fi
Dmitry [639]
speed \: equals \: distance \div time
speed equals 825 divided by 17
speed equals to 48.5miles per hour

gas mileage equals to 825/38
gas mileage equals to 21.7


125/38 equals to 3.3 unit price
8 0
3 years ago
The scatter plot below shows the height of a tree over time. What is the approximate height of the tree after 10 years show work
gladu [14]
17ft, you go across x-axis till 10(years) and vertically look up to the line which co-ordinates x-axis with y-axis and look up the height(ft)
3 0
3 years ago
Can someone help me with this
Anvisha [2.4K]

Answer:

D. \frac{{7}^{11} }{ {4}^{11} }

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( \frac{7}{4}) {}^{11} = \frac{7 {}^{11} }{4 {}^{11} }

Since we are multiplying an exponential number to a fraction the answer is going to be

\frac{7 {}^{11} }{4 {}^{11} }

Hope this helps ❤❤❤ ;)

7 0
3 years ago
Read 2 more answers
A grocery store charges $2.81 per pound of turkey and $3.89 per pound of cheese. What is the closest estimate for the price some
melomori [17]

Answer: $14.05 for 5 pounds of Turkey and $ 2.92 for 3/4 pounds of cheese.

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i hope this helps you also i hope this is correct.

               

7 0
2 years ago
Read 2 more answers
The mean and standard deviation of the number of practices are = 8 practices and sx = 4.47 practices. The mean and standard devi
ddd [48]

Least square regressions are used to find the equation of <em>best fit between two variables</em>.

The equation of the least-squares regression line is: \mathbf{y = 9.414 - 0.213x}

The given parameters are:

\mathbf{\bar x = 8}

\mathbf{\sigma_x = 4.47}

\mathbf{\bar y = 7.71}

\mathbf{\sigma_y = 1.20}

\mathbf{r = -0.793}

The equation of the least-squares regression line is represented as:

\mathbf{y = a + bx}

Where:

\mathbf{b = r \times \frac{\sigma_y}{\sigma_x}}

\mathbf{a = \bar y - b\bar x}

So, we have:

\mathbf{b = r \times \frac{\sigma_y}{\sigma_x}}

\mathbf{b = -0.793 \times \frac{1.20}{4.47}}

\mathbf{b = -0.213}

\mathbf{a = \bar y - b\bar x}

\mathbf{a = 7.71 - (-0.213) \times 8}

\mathbf{a = 9.414}

So, the equation is:

\mathbf{y = a + bx}

\mathbf{y = 9.414 - 0.213x}

Read more about equations of least squares regression at:

brainly.com/question/2141008

8 0
2 years ago
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