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Greeley [361]
3 years ago
7

Which equation is equivalent to -2(2 − 2x) = 4 − 8(1 − x)

Mathematics
1 answer:
Kay [80]3 years ago
6 0

Answer:

8 = 4x OR 0 = 4x

Step-by-step explanation:

I not %100 sure or it could be 0 = 4x

EITHERONE

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Yo I know ya'll can see this question. Please help me out. I can't fail this.
Ksenya-84 [330]

Answer:

  D.  y = 12.11·1.36^x . . . . . best <em>exponential</em> model

  A.  y = 2.49x^2 +7.29x +3.57 . . . . . best model of the choices offered

Step-by-step explanation:

None of the offered choices is very good, and the best of them is only the best by a relatively small amount. The exponential models cannot have been developed using any reasonable approach to model building. So, you have to figure out how to assess these models when none of them has much relation to the given data.

The horizontal asymptote of an exponential function is zero. Here, the values seem to have a horizontal asymptote of about 6. Consequently, you would look at the first few numbers and expect a vertical offset to the exponential function of about 6. Subtracting that from the remaining numbers, you might toss "13" as an outlier and use some of the others to compute the base of the exponent. If you do that using the points (0, 8) and (4, 88), you would compute the base to be ...

   ((88 -6)/(8 -6))^(1/(4-0)) ≈ 2.53

The multiplier of the exponential part is its value when x=0. We've estimated that to be 8-6 = 2. This gives an exponential model that looks like ...

  y = 6 + 2·2.53^x

____

<em>Comparison of our estimated model to the offered choices</em>

Selection A is a <em>quadratic</em> model. It has precisely the coefficients that are calculated by a spreadsheet or graphing calculator for a quadratic model. Though it gives the best fit of any of the offered choices, it is not the required <em>exponential</em> regression equation.

The base of selection C is about 5 times as great as needed, so it will vastly overestimate any points for x ≥ 1. It gives by far the worst fit of all of these choices.

The choice with the largest reasonable base is B, but it gives values for y that are less than any of those listed. As a consequence, its error is higher than necessary.

The remaining choice D gives a curve that is less than data points at the ends of the table and greater than the data values in the middle of the table. Of the offered exponential models, it has the least overall error. (You might pick choice D simply because it uses the same numbers as in choice C, but puts those numbers in places that make the function a better fit.)

_____

<em>Graphing calculator results</em>

If you ask a graphing calculator to give you an exponential model for these data, you can get either of ...

  •   y = 6.2 + 1.2·2.87^x . . . . . exponential with vertical offset
  •   y = 3.38·2.25^x . . . . no vertical offset; can't match x<0 very well

The first of these has about 1/10 the error of the last of these. Both have less than 1/10 the error of the available answer choices.

_____

<em>Comment on the attachment</em>

The black and red curves correspond to the first two answer choices. The functions associated with the other colors are shown at the left. The green points are those given in the problem statement.

The "total" numbers are the total squared error of each of the functions. Smaller errors mean the function is a better fit to the data.

5 0
3 years ago
Solve to find the value for x in the linear equation: 3(−4x + 5) = 12.1. Use the distributive property: 2. Use the subtraction p
Brrunno [24]

Answer:

x =\frac{7}{12}

Step-by-step explanation:

Given equation,

3(-4x + 5) = 12

Step 1 : Using distributive of equality,

3(-4x) + 3(5) = 12

Step 2 : simplify,

-12x + 15 = 12

Step 3 : Using subtraction property of equality,

-12x = 12 - 15

Step 4 : Simplify,

-12x = -7

Step 5 : Using division property of equality,

x =\frac{7}{12}

5 0
3 years ago
Read 2 more answers
After calculating the sample size needed to estimate a population proportion to within 0.05, you have been told that the maximum
Svetlanka [38]

Answer:  40000

Step-by-step explanation:

The formula to find the sample size is given by :-

n=p(1-p)(\dfrac{z_{\alpha/2}}{E})^2, where p is the prior estimate of the population proportion.

Here we can see that the sample size is inversely proportion withe square of margin of error.

i.e. n\ \alpha\ \dfrac{1}{E^2}

By the equation inverse variation, we have

n_1E_1^2=n_2E_2^2

Given : E_1=0.05   n_1=1000

E_2=0.025

Then, we have

(1000)(0.05)^2=n_2(0.025)^2\\\\\Rightarrow\ 2.5=0.000625n_2\\\\\Rightarrow\ n_2=\dfrac{2.5}{0.000625}=4000

Hence, the sample size will now have to be 4000.

6 0
3 years ago
If the coefficient of determination for a data set is 0.75 and the SSE for the data set is 13, what is the SST for the data set?
nadya68 [22]
Answer : SSE = 9
r^2 = 0.75
r^2 = 1 - (SSE/SST)
SSE/SST = 1 - r^2 = 1 - 0.75 = 0.25
<span>SST = 9/0.25 = 36</span>
8 0
3 years ago
Read 2 more answers
The adjusted trial balance of Smith Sign Company follows:
Oksana_A [137]

Following are the general entry to the given question:

For Question 1:

Date             Account Titles and Explanation                   Dr              Cr

31-Jan-2024              Revenue Service                      $17,500  

                                   Summary of Income                                    $17,500

                             (Finishing the revenue account)  

31-Jan-2024     Summary of Income                        $7,100  

                                  Expense of Salary                                     $3,600

                                   Expense on rent                                             $1,800

                        Expense of Depreciation - equipment                   $300

                               Expense on Supplies                                            $400

                                 Expense on Utilities                                           $1,000

                           (To close the expenditure account)  

31-Jan-2024    Summary of Income                           $10,400  

                                Retained Earnings                                    $10,400

                 (To bring net income into line with retained profits)  

31-Jan-2024           Retained Earnings                       $1,000  

                                             Dividend                                             $1,000

               (To close net dividend to retained earnings)  

For Question 2:

A net income of $10,400 is generated. They may compute it by subtracting total expenses from the entire revenue.

Total Revenue= $17,500

Total Expenses=$7,100

\text{Net Income= Total Revenue-Total Expenses}

                  \bold{= \$17,500 - \$7,100} \\\\ \bold{=\$10,400}

  • Please find the complete question in the attachment file.

Learn more:

brainly.com/question/14695332

4 0
2 years ago
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