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4 years ago

5

Alexis has a rectangular piece of red paper that is 4 centimeters wide. It’s length is 8 centimeters. She glued a rectangular pi

ece of blue paper on top of the red piece that is 3 Times the with and two times the length. What is the surface area of the blue paper?

1 answer:

sleet_krkn [62]4 years ago

8 0

3(4)x2(8)
12X16
192cm is the surface area of the blue paper

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A calculator screen shows a number in scientific notation as 1.04E10. Write this number in standard form.

Cerrena [4.2K]

$1.04 \times {10}^{10} =$

$104 \times {10}^{ - 2} \times {10}^{10} =$

$104 \times {10}^{8} =$

$10400000000$

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3 years ago

An airplane takes off 12.5 miles south of a city and flies due north at a constant speed of 170 miles per hour. What is the plan

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The airplane takes off 12 1/2 miles south of a city
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3 years ago

For how many weeks would the class need to have car washes to earn $5000.

nikdorinn [45]

The correct answer would be for 29 weeks.
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4 years ago

yarga [219]

Answer:45

Step-by-step explanation:

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3 years ago

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.

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2 years ago