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diamong [38]
3 years ago
15

What is 2+ 9-x divided by 4 = 10

Mathematics
1 answer:
N76 [4]3 years ago
7 0
Here is the work for this equation:

2+9-x/4 =10

11-x/4=10

11-x=40

x=29
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£245 £140 £525 £174 £195 £163 £140<br> what is the mode?
Blababa [14]

The mode is the number that repeats itself the most in a sequence. In this case, the mode will be £140 since it repeats itslef the most (2 times).


Hope it helped,


BioTeacher101

5 0
3 years ago
Number 10 needed please answer
creativ13 [48]

Answer:

27

Step-by-step explanation:

Both the negative signs cancel each other out which means it's positive!

I hope this helps, and have a great day!

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3 years ago
PLEASE HELP <br> The area of a square is 8km. Find its perimeter.
Sidana [21]

Answer:

area = 8k {m}^{2}  \\ l =  \sqrt{8}  \\  =  \sqrt{2 \times 4 }  =  \sqrt{2}  \sqrt{4}  \\ l = 2 \sqrt{2} km \\ perimeter = 4 \times l \\  = 4 \times 2 \sqrt{2}  \\  = 8 \sqrt{2} km

6 0
3 years ago
Walters weekly take home pay is $354.90, which is 78% of his gross pay (before deductions). what is Walter's weekly gross pay?
Butoxors [25]
$432.978 or $432.98 is the answer
7 0
3 years ago
Florida reappraises real estate every year, so the county appraiser's Web site lists the current "fair market value" of each pie
PilotLPTM [1.2K]

Answer:

The equation of the least square regression line for predicting selling price from appraised value is:

\text{Selling Price}=227.0989 + 0.8991\ \text{Appraised Value}

Step-by-step explanation:

The general form of the  least square regression line is:

y=a+bx

Here,

<em>y</em> = dependent variable

<em>x</em> = independent variable

<em>a</em> = <em>y</em>-intercept

<em>b</em> = slope

The Minitab output for regressing selling price on appraised value is:

Predictor          Coef       SE Coef       T

Constant      227.0989    95.044    2.389

Appraisal          0.8991       0.133     6.76

S = 88.7959

R-Sq = 76.5%

R-Sq (adj) = 74.9%

The constant term in the regression output represents the <em>y</em>-intercept and the Appraisal coefficient the slope of the regression line.

Then the equation of the least square regression line for predicting selling price from appraised value is:

\text{Selling Price}=227.0989 + 0.8991\ \text{Appraised Value}

5 0
3 years ago
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