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melomori [17]
2 years ago
13

-3x -3 = 2x + 7. Will mark brainlest

Mathematics
2 answers:
Marysya12 [62]2 years ago
8 0

Answer: x=−2

Step-by-step explanation: Step 1: Subtract 2x from both sides.

−3x−3−2x=2x+7−2x

−5x−3=7

Step 2: Add 3 to both sides.

−5x−3+3=7+3

−5x=10

Step 3: Divide both sides by -5.

−5x/-5=10/-5

krok68 [10]2 years ago
4 0

Answer:

- 3x - 3 = 2x + 7 \\ 2x + 3x =  - 7 - 3 \\ 5x =  - 10 \\ x =  \frac{( - 10)}{5}  \\  \boxed{x =  - 2}

<h3><u>x=-2</u> is the right answer.</h3>
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Step-by-step explanation:

82 + 76 + 42 = 200

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200 / 2 = 100

42 / 2 = 21

21 out of 100 = 42 out of 200

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An Item priced at $776 has a sales tax of $48.50. Find the sales tax rate expressed as a percent.
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48.50/776 = .0625 or 6.25%
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Please help me on this
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Emerson has an associate degree. Based on the bar chart below, how will his employment opportunities change from 2008-2018?
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19% change

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3 years ago
The table shows the number of medical clinics and the number of bowling alleys in several cities.
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Answer:

Step-by-step explanation:

a) to create a scatter plot for the data, let data for clinics be x and that one for Bowling alleys be y then plot x values with corresponding y values on a graph tool.

<u>x                     y</u>

14                   12

1                      3

6                     6

5                     7

10                    7

6                      8

11                      9

8                      15

6                       7

16                     12

The scatter plot is attached below

b) a cluster is a group of data that is close together. From the plot, the ordered pairs forming a cluster are;

(6,6), (6,7), (5,7), and (6,8)

c) An outlier is a point in a plot which lies very far from the other values. In this case, point its  point (8,15)

d)The linear regression equation is one written in the form of

Y=a+bX where ;

Y=the dependent variable

X=the explanatory variable

a=the intercept, which is the value of y when x=o

b=slope of the line

The formula to apply here is ;

a=(∑y)(∑x²)-(∑x)(∑xy) / n(∑x²)-(∑x)² where n is number of samples

b= n(∑xy)-(∑x)(∑y) / n(∑x²)-(∑x)²

Form a table like below

<u>x                     y               xy               x²                 y²</u>

14                   12              168            196              144

1                      3                 3               1                   9

6                     6                 36            36                 36

5                     7                 35             25                49

10                    7                 70             100              49

6                      8                 48             36              64

11                      9                99             121               81

8                      15               120             64            225

6                       7                42               36              49

16                     12                192            256            144

83                     86              813           871               850------------sum

∑x=83   ∑y=86  ∑xy=813  ∑x²=871  ∑y²=850 and n=10

Applying the formula

a=(∑y)(∑x²)-(∑x)(∑xy) / n(∑x²)-(∑x)²

a=[(86 * 871) - (83*813) ]/ 10 (871-83²)

a=[74906 - 67479] / 10(-6018)

a=[7427] / -60180

a= - 0.1234

b= n(∑xy)-(∑x)(∑y) / n(∑x²)-(∑x)²

b=10(813)-(83*86) / 10 (871)-(83²)

b=[8130-7138] / 8710 -6889

b= 992/1821

b=0.5448

The liner regression equation will be;

Y=a+bX

Y= -0.1234 + 0.5448 X

e) correlation coefficient r is given by;

r= n∑xy - (∑x)(∑y) / √n(∑x²)-(∑x)² × √n(∑y²)-(∑y)²

r=10*813 - (83*86) / √10 *871 -83² ×√10*850 - 86²

r=8130-7138 / √8710-6889 × √8500-7396

r= 992 / (√1821 × √1104)

r=992/ 42.67×33.23

r=992/1417.9

r=0.6996

f) r² is important because it shows you the proportion of the variance of one variable that is predictable from the other variable.

r=0.6996

r²=0.6996² =0.4894

8 0
3 years ago
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