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nadya68 [22]
3 years ago
12

Can you please help me solve this I need it before 12/21/20 please help

Mathematics
1 answer:
Triss [41]3 years ago
7 0

Answer:

I only know that the first box is and it is counting by twos

Step-by-step explanation:

because 5+2 =7 then 6+4=10 then 7+6=13 then 8+8=16 and lastly 9+10=19

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the value of a new automobile depreciates 15% during the first year, and 16% during the second year. What is its depreciated val
Flauer [41]
It starts at 100% - 15% = 85% after the first year. $15,000*0.85 = $12,750
The second year is further reduced 100% - 16% = 84%
$12,750*0.84 = $10,710


3 0
3 years ago
Determine whether the given description corresponds to an observational study or an experiment.
NNADVOKAT [17]

Answer:Good luck hopefully somebody answer your question

Step-by-step explanation:

4 0
3 years ago
Alright I need The answers for number 27 please reply To This question I posted
lys-0071 [83]

Answer:

C. Sqrt(12^2+9^2)

Step-by-step explanation:

Pythagorean theorem is

x^2+y^2=z^2

So solving for z

z=sqrt(x^2+y^2)

z=sqrt(9^2+12^2)

6 0
4 years ago
Help me please 10 points I’m only in 8th
DaniilM [7]

The square root of 26 is 5.0999... which rounds to 5.1

Please give me brainliest! I would really appreciate it!

4 0
4 years ago
Find the residual values, and use the graphing calculator tool to make a residual plot. A 4-column table with 5 rows. The first
Svetlanka [38]

The best answer from the options that proves that the residual plot shows that the line of best fit is appropriate for the data is: ( Statement 1 ) Yes, because the points have no clear pattern

X         Given     Predicted     Residual value

1            3.5           4.06             -0.56

2           2.3           2.09             0.21

3            1.1            0.12               0.98

4           2.2           -1.85              4.05

5          -4.1            -3.82            -0.28

The residual value is calculated as follows using this formula: ( Given - predicted )

1) ( 3.5 - 4.06 ) = -0.56

2) ( 2.3 - 2.09 ) = 0.21

3) ( 1.1 - 0.12 ) = 0.98

4) (2.2 - (-1.85) = 4.05

5) ( -4.1 - (-3.82) = -0.28

Residual values are the difference between the given values and the predicted values in a given data set and the residual plot is used to represent these values .

attached below is the residual plot of the data set

hence we can conclude from the residual plot attached below that the line of best fit is appropriate for the data because the points have no clear pattern ( i.e. scattered )

learn more about residual plots : brainly.com/question/16821224

5 0
2 years ago
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