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Aleonysh [2.5K]
3 years ago
9

Wendy is going to paint the front wall of the house only, (see image attached). Find the area that needs to be painted.

Mathematics
1 answer:
7nadin3 [17]3 years ago
4 0

Answer:

20

Step-by-step explanation:

20

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Help pleaseee hurry if u can
Alborosie

Answer:

sorry your questions image is blurr

3 0
3 years ago
Rewrite in terms of ln and round to 3 decimal places y=35(6)^x
tester [92]
Hello,

y=35*6^x
==>ln(y)=ln(35)+x*ln(6)
==>e^ln(y)=e^(ln(35)+x*ln(6))
==>y=35*ln(6)*e^x≈62.711*e^x

3 0
3 years ago
What are the real solutions
Assoli18 [71]

Step-1 : Multiply the coefficient of the first term by the constant <span> <span> 1</span> • -2 = -2</span> 

Step-2 : Find two factors of  -2  whose sum equals the coefficient of the middle term, which is  <span> 1 </span>.

<span><span>     -2   +   1   =   -1</span><span>     -1   +   2   =   1   That's it</span></span>


Step-3 : Rewrite the polynomial splitting the middle term using the two factors found in step 2 above,  -1  and  2 
                     <span>x2 - 1x</span> + 2x - 2

Step-4 : Add up the first 2 terms, pulling out like factors :
                    x • (x-1)
              Add up the last 2 terms, pulling out common factors :
                    2 • (x-1)
Step-5 : Add up the four terms of step 4 :
                    (x+2)  •  (x-1)
             Which is the desired factorization

Final result : (x + 2) • (x - 1) • (x - 3) • (2x - 5) <span>
</span>
5 0
3 years ago
Use the value of the linear correlation coefficient r to find the percentage of the total variation that can be explained by the
Pie

Answer:

5.47% of the total variation between the two variables can be explained by the regression line.

Step-by-step explanation:

Given :

R value = 0.234

The R value is the correlation Coefficient ; which gives the type and level of correlation between two variables.

However, to Obtian the percentage variation which can be explained by by the regression line, we have to obtain the Coefficient of determination, R².

R² value is Obtained by taking the squared of the correlation Coefficient

Hence,

R² = 0.234² = 0.054756

R² = 0.05476 * 100% = 5.4756%

Hence, R² = 5.48%

This is interpreted as ; 5.47% of the total variation between the two variables can be explained by the regression line.

4 0
3 years ago
Do not, I repeat DO NOT ANSWER THIS QUESTION!!!! It is experimental, and I need to answer it with my other account, so please DO
Degger [83]

Answer:

tfgvftydgxchtfg

Step-by-step explanation:

6 0
3 years ago
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