<img src="https://tex.z-dn.net/?f=%5Cfrac%7Bx%7D%7B3%7D%20-3%3D%5Cfrac%7Bx%7D%7B9%7D%20%2B3" id="TexFormula1" title="\frac{x}{3}

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nordsb [41]

3 years ago

-3=\frac{x}{9} +3" alt="\frac{x}{3} -3=\frac{x}{9} +3" align="absmiddle" class="latex-formula">

Mathematics

1 answer:

Tanya [424]3 years ago

7 0

The answer is : x=27

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Haley substituted the values of a, b, and c into the quadratic formula below. x = StartFraction negative (negative 10) plus or m

Leokris [45]

Where does that StartFraction ... mess come from? -- I've seen it in other questions.

$x = \dfrac{- -10 \pm \sqrt{(-10)^2 - 4(7)(-2)}}{2(7)}$

Comparing that to the general quadratic formula

$x = \dfrac{-b \pm \sqrt{b^2-4ac}}{2a}$

we see b=-10 (agreeing in both places) a=7 (two places), c=-2

Answer: 7x² - 10x - 2 = 0

5 0

4 years ago

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9. Identify the correct property being shown.

BaLLatris [955]

Answer:

-16.4, (commutative property)

Step-by-step explanation:

(add, because they are both negatives) -5.2+(-8.4)= -13.6

Then add the (-2.8): -13.6 + (-2.8) = -16.4

Thats your first equation!!!

do the same thing for the other one, and by the way it the same answer.

Its commutative prop because its just switching positions and its adding negatives.

4 0

3 years ago

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An article reports the following data on yield (y), mean temperature over the period between date of coming into hops and date o

enot [183]

Answer:

$y = 415.113 -6.593 x_1 -4.504 x_2$

Step-by-step explanation:

Given

$x_1: 16.7\ 17.4\ 18.4\ 16.8\ 18.9\ 17.1\ 17.3\ 18.2\ 21.3\ 21.2\ 20.7\ 18.5$

$x_2: 30\ 42\ 47\ 47\ 43\ 41\ 48\ 44\ 43\ 50\ 56\ 60$

$y: 210\ 110\ 103\ 103\ 91\ 76\ 73\ 70\ 68\ 53\ 45\ 31$

Required

Use R code to determine the regression equation

$y = b_o + b_1x_1 + b_2x_2$

First, write the following code in a R program

$x1$

$x2$

$y$

$mod$ ~ $x1+x2)\\$

$summary(mod)$

Next, run the program

See attachment for program and output

From the output, go to coefficients:

Check Estimate Std. column, you have the following:

$(Intercept) = 415.113$

$x_1 = -6.593$

$x_2 = -4.504$

$y = b_o + b_1x_1 + b_2x_2$ implies that:

$b_o \to$ Intercept

$b_1 \to x_1$

$b_2 \to x_2$

Hence, the least square regression equation is:

$y = 415.113 -6.593 x_1 -4.504 x_2$

8 0

3 years ago

Answer for the blank?

umka2103 [35]

The answer is 3 you add the two numbers before it

3 0

3 years ago

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–0.4 n ≤ 6.8 answer this quick

Lilit [14]

N >= -17 is the answer

7 0

3 years ago