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Sveta_85 [38]
3 years ago
8

I don’t know how to do it

Mathematics
1 answer:
Alenkinab [10]3 years ago
4 0

Answer:

u take 12 x 10=120+12=132 so the

answer is 132

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Rufina [12.5K]

Answer:

c may bbethe most accurate one l m 55% sure

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Calculate m∠ABC and m∠CBD, what is the value of x?<br><br> Enter your answer in the box.
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X is twenty

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Put this equation into slope intercept -2×+3y=9
siniylev [52]

y = \frac{2}{3} x + 3

The equation of a line in slope-intercept form is

y = mx + c ( m is the slope and c the y-intercept )

rearrange - 2x + 3y = 9 into this form

add 2x to both sides

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y = \frac{2}{3} x + 3 ← in slope-intercept form


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3 years ago
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Austin should pay $75 the first month, and 37.50 for the remaining of the 2 months
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3 years ago
You conducted a regression analysis between Amount of Wealth in society (x) and the Stock Market Value (y) and the study yielded
Aliun [14]

Answer:

E IS THE CORRECT ANSWER

The R-squared is 0.64 and it means that the dependent value explains 64% of the independent value in the simple regression analysis

Step-by-step explanation:

R-Squared value is a very important indicator in a regression analysis.

What does it measure?

It measures how close to the line of best fit are the data points. How good the fitted line is can be indicated by the value of the r-squared.

The maximum value it can take is 1 and at this value, there is a direct and complete relationship between the independent variable x and the dependent variable y. The value 1 represents an 100% relationship between both parties.

The r-squared has a value of between 0 and 100%. The closer to 100, the better the model while the closer to 100, the more faulty the model is. In fact, a value of 0 indicates no relationship at all between the dependent and the independent variable.

With an R-squared value of 0.64, the regression model works above average to explain that the dependent variable explains 64% of the independent value in the simple regression analysis.

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