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TEA [102]
2 years ago
11

Slove the simoltanous equation by using substitution or elimination method 5x-3y=1 3x+2y=1​

Mathematics
1 answer:
xxTIMURxx [149]2 years ago
7 0

<u>By substitution method </u>

5x - 3y =1

3x + 2y = 1

_____o____o____

5x - 3y = 1 \\ 5x = 1  +  3y \\ x =  \frac{1 + 3y}{5}

______o____o_____

3x + 2y = 1 \\ 3( \frac{1 + 3y}{5} ) + 2y = 1 \\  \frac{3 + 9y}{5}  + 2y = 1 \\  \frac{3 +9y + 10y}{5}  = 1 \\  \frac{3 + 19y}{5}  = 1 \\ 3 + 19y = (1)(5) \\ 3 + 19y = 5 \\ 19y = 5 - 3 \\ 19y = 2 \\ y =  \frac{2}{19}

______o_____o____

x =  \frac{1 + 3y}{5}  =  \frac{1 + 3 \frac{2}{19} }{5} \\ x =  \frac{1 +  \frac{6}{19} }{5}  =  \frac{ \frac{19 + 6}{19} }{5}   =  \frac{ \frac{25}{19} }{5}  \\ x =  \frac{25}{19}  \div 5 \\ x =  \frac{25}{19}  \times  \frac{1}{5}  \\ x =  \frac{5}{19}

I hope I helped you^_^

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3 years ago
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Use the confidence interval to find the margin of error and the sample mean (0.118,0.220)
malfutka [58]

Answer:

μ = 0.169

ME = 0.051

Step-by-step explanation:

The confidence interval is:

CI = μ ± ME

So the mean is the middle of the confidence interval, and the margin of error is half the difference.

μ = (0.118 + 0.220) / 2 = 0.169

ME = (0.220 − 0.118) / 2 = 0.051

5 0
3 years ago
The least squares regression line minimizes the sum of the:
lorasvet [3.4K]

Answer:

d) Squared differences between actual and predicted Y values.

Step-by-step explanation:

Regression is called "least squares" regression line. The line takes the form = a + b*X where a and b are both constants. Value of Y and X is specific value of independent variable.Such formula could be used to generate values of given value X.

For example,

suppose a = 10 and b = 7. If X is 10, then  predicted value for Y of 45 (from 10 + 5*7). It turns out that with any two variables X and Y. In other words, there exists one formula that will produce the best, or most accurate predictions for Y given X. Any other equation would not fit as well and would predict Y with more error. That equation is called the least squares regression equation.

It minimize the squared difference between actual and predicted value.

3 0
3 years ago
Hardy has three times as many tennis balls as kerns. They have 940 tennis balls in all. How many tennis balls does Hardy have th
topjm [15]

Answer:

Hardy has 470 more tennis balls than Kerns.

Step-by-step explanation:

Given that:

Total number of tennis balls = 940

Let,

x represents the number of tennis balls Hardy has.

y represents the number of tennis balls Kerns has.

According to given statement,

x+y=940     Eqn 1

x = 3y         Eqn 2

Putting x = 3y in Eqn 1

3y+y=940

4y=940

Dividing both sides by 4

\frac{4y}{4}=\frac{940}{4}\\y=235

Putting y=235 in Eqn 2

x = 3(235)

x = 705

Difference = Hardy's tennis balls - Kerns' tennis balls

Difference = 705 - 235 = 470

Hence,

Hardy has 470 more tennis balls than Kerns.

3 0
3 years ago
No picture for this problem but here it is...
Vesnalui [34]

Answer:

The coordinates for X are (4, 8).

Step-by-step explanation:

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2 years ago
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