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3 years ago

What is 3y - 2x = 9 in slope intercept form?

Mathematics

2 answers:

mina [271]3 years ago

7 0

Answer:

$\huge \boxed{ \boxed{ \mathfrak{y = \frac{2}{3} x + 3}}}$

Step-by-step explanation:

<h3>to understand this</h3><h3>you need to know about:</h3>

linear equation
PEMDAS

<h3>tips and formulas:</h3>

slope-intercept form:y=mx+b

<h3>let's solve:</h3>

$\sf add \: 2x \: to \: both \: sides : \\ \tt 3y - 2y + 2x = 2x + 9 \\ \tt 3y = 2x + 9$
$\sf divide \: both \: sides \: by : \\ \tt \: y = \frac{2x}{3} + \frac{9}{3} \\ \tt \therefore y = \frac{2}{3} x + 3$

Yuliya22 [10]3 years ago

5 0

Answer:

Step-by-step explanation:

IN slope intercept form

3y = 2x + 9

y = ( 2x + 9)/3

y = 2/3 x + 3

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Cuanto es diez más diez

Whitepunk [10]

Answer:

veinte

Step-by-step explanation:

Son veinte porque si alineas 10 + 10 así-

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3 years ago

Read 2 more answers

Cal is packing his suitcase to go on a trip. He wants to pack 4 pairs of pants chosen from the 8 pairs of pants in his closet an

11111nata11111 [884]

Answer:

8820 ways

Step-by-step explanation:

Given that :

Selecting 4 pairs of pant from 8 available and selecting 5 shirts from 9 available

Using combination :

4 pants from 8 = 8C4

5 shirts from 9 = 9C5

Recall:

nCr = n! / (n-r)! r!

8C4 * 9C5 = [8! /(8-4)!4!] * [9! /(9-5)!5!]

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8C4 * 9C5 = 70 * 126

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3 years ago

The least-squares regression model y =−3.4+5.2x and correlation coefficient r=−0.66 were calculated for a set of bivariate data

Makovka662 [10]

Answer:

$r=\frac{n(\sum xy)-(\sum x)(\sum y)}{\sqrt{[n\sum x^2 -(\sum x)^2][n\sum y^2 -(\sum y)^2]}}$

For this case the value of r = -0.66

Now we can calculate the determination coeffcient:

$r^2 = (-0.66)^2 = 0.4356$

And then we can conclude that 43.56% of the variation in y can be explained by the explanatory variable

And then 100-43.56 = 56.44 % of the variation in y that cannot be explained by the explanatory variable

Step-by-step explanation:

For this case we need to calculate the slope with the following formula:

$m=\frac{S_{xy}}{S_{xx}}$

Where:

$S_{xy}=\sum_{i=1}^n x_i y_i -\frac{(\sum_{i=1}^n x_i)(\sum_{i=1}^n y_i)}{n}$

$S_{xx}=\sum_{i=1}^n x^2_i -\frac{(\sum_{i=1}^n x_i)^2}{n}$

$\bar x= \frac{\sum x_i}{n}$

$\bar y= \frac{\sum y_i}{n}$

And we can find the intercept using this:

$b=\bar y -m \bar x$

And the model obtained for this case is:

$y = -3.4 +5.2 x$

The correlation coefficient is a "statistical measure that calculates the strength of the relationship between the relative movements of two variables". It's denoted by r and its always between -1 and 1.

And in order to calculate the correlation coefficient we can use this formula:

$r=\frac{n(\sum xy)-(\sum x)(\sum y)}{\sqrt{[n\sum x^2 -(\sum x)^2][n\sum y^2 -(\sum y)^2]}}$

For this case the value of r = -0.66

Now we can calculate the determination coeffcient:

$r^2 = (-0.66)^2 = 0.4356$

And then we can conclude that 43.56% of the variation in y can be explained by the explanatory variable

And then 100-43.56 = 56.44 % of the variation in y that cannot be explained by the explanatory variable

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Answer:

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Step-by-step explanation:

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ikadub [295]

Answer:

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Step-by-step explanation:

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