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4 years ago

I am in major need of help!!!!!!

Mathematics

1 answer:

prohojiy [21]4 years ago

6 0

$23 dollars. 6 times 2 is 12. 10 times 1 is 10. 1 times 3 is 3. 8 times 1 is 8. Add those together and it is 33. 33 minus 10 is 23.

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What change of percent is 12 inches to 36 inches

Citrus2011 [14]

%change=100(final-initial)/initial

You can plug in your values...if you meant initial=12 and final=36...

%change=100(36-12)/12=200%

Since it is positive, that is a 200% increase.

8 0

3 years ago

Find the area of the triangle with the given measurements. Round the solution to the nearest hundredth if necessary. B = 105°, a

Akimi4 [234]

Answer:

The area of triangle is $110.10cm^{2}$

Step-by-step explanation:

It is given that AB=19cm, BC=12cm and ∠B=105°

Now, Area of the triangle ABC= $\frac{1}{2}acsinB$

= $\frac{1}{2}{\times}12{\times}19{\times}sin105^{\circ}$

= $6{\times}19{\times}(0.965)$

= $110.10cm^{2}$

Thus, the area of triangle is $110.10cm^{2}$

4 0

4 years ago

A Top NBA player can earn about 2.5 x 10 7th power dollars each year. If john earns $40,000 per year at his starting job out of

kkurt [141]

25 millions / 40 k = 625

4 0

3 years ago

Read 2 more answers

Complete the equation of the line through (1,4) and (2,2)<br><br> Use exact numbers.<br> y=?

Aleks [24]

Step-by-step explanation:

slope = 2-4/2-1 = -2

y - 2 = -2(x - 2)

y-2 = -2x +4

y = -2x + 6

8 0

3 years ago

Read 2 more answers

The data set below shows the temperature, in degrees Fahrenheit, of a mug of tea compared tothe time in minutes after being pour

Verizon [17]

Given the model of the Exponential Regression:

$y=174.4(0.987)^x$

By definition:

$Residual=Observed\text{ }y\text{ }value-Predicted\text{ }y\text{ }value$

You can see in the table the observed y-values (the temperature in Fahrenheit)

In order to find the Predicted y-values, you need to substitute all the x-values given in the table (the time in minutes) into the equation and then evaluate. You get:

$y=174.4(0.987)^5\approx163.35$ $y=174.4(0.987)^8\approx157.07$ $y=174.4(0.987)^{11}\approx151.02$ $y=174.4(0.987)^{15}\approx143.32$ $y=174.4(0.987)^{18}\approx137.80$ $y=174.4(0.987)^{22}\approx130.77$ $y=174.4(0.987)^{25}\approx125.74$ $y=174.4(0.987)^{29}\approx119.33$ $y=174.4(0.987)^{32}\approx114.73$ $y=174.4(0.987)^{35}\approx110.32$

Now you have these points:

$(5,163.35),(8,157.07),(11,151.02),(15.143.32)(18,137.800),(22,130.77),(25,125.74),(29,119.33),(32,114.73),(35,110.32)$

Therefore, you can plot them on the Coordinate Plane:

By definition, when the residual plot shows a pattern, a non-linear regression model is appropriate for the data. Therefore, the Exponential Regression Model is a good fit.

Hence, the answer is:

- Residual Plot:

- First option.

6 0

2 years ago