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iren [92.7K]
3 years ago
9

What is the slope of the line described by the equation below? Y - 5= -3(x - 17)

Mathematics
2 answers:
MA_775_DIABLO [31]3 years ago
7 0
Hello there!

To find the slope, we must first put this equation in y = mx + b form (also known as slope intercept form)

First, let's solve the right side using the distributive property.

To do this, we will multiply -3 by both x and -17

-3 * x = -3x

-3 * -17 = 51 (a negative times a negative equals a positive)

So, now we have: y - 5 = -3x + 51


Now we must get rid of the -5 on the right side.

To do this, we will add -5 to both sides

y - 5 + 5 = -3x + 51 + 5

Now we have y = -3x + 56

Now, we know the slope is -3

I hope my answer helped you out!

~ Fire
Alenkinab [10]3 years ago
4 0
First distribute -3 to both x and -17
-3(x) = -3x
-3(-17) = 51

y - 5 = -3x + 51

isolate the y, add 5 to both sides

y - 5 (+5) = -3x + 51 (+5)

add all numbers with same variables together

y = -3x + 51 + 5
y = -3x + 56

inside the slope intercept form:

y = y
m = slope
x = x
b = intercept.

y = mx + b (using this equation, we can see that -3 = m)

-3 is slope, and is your answer 

hope this helps
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valkas [14]

Solution :

We know that

$H_0: \mu_1 = \mu_2=\mu_3$

$H_1 :$ At least one mean is different form the others (claim)

We need to find the critical values.

We know k = 3 , N = 35, α = 0.05

d.f.N = k - 1

       = 3 - 1 = 2

d.f.D = N - k

        = 35 - 3 = 32

SO the critical value is 3.295

The mean and the variance of each sample :

Goust                      Jet red                 Cloudtran

$\overline X_1 =50.5$           $\overline X_2 =50.07143$        $\overline X_3 =55.71429$

$s_1^2=19.96154$      $s_2^2=14.68681$         $s_3^2=36.57143$

The grand mean or the overall mean is(GM) :

$\overline X_{GM}=\frac{\sum \overline X}{N}$

         $=\frac{51+51+...+49+49}{35}$

        = 52.1714

The variance between the groups

$s_B^2=\frac{\sum n_i\left( \overline X_i - \overline X_{GM}\right)^2}{k-1}$

     $=\frac{\left[14(50.5-52.1714)^2+14(52.07143-52.1714)^2+7(55.71426-52.1714)^2\right]}{3-1}$

   $=\frac{127.1143}{2}$

   = 63.55714

The Variance within the groups

$s_W^2=\frac{\sum(n_i-1)s_i^2}{\sum(n_i-1)}$

    $=\frac{(14-1)19.96154+(14-1)14.68681+(7-1)36.57143}{(14-1)+(14-1)+(7-1)}$

   $=\frac{669.8571}{32}$

  = 20.93304

The F-test  statistics value is :

$F=\frac{s_B^2}{s_W^2}$

  $=\frac{63.55714}{20.93304}$

  = 3.036212

Now since the 3.036 < 3.295, we do not reject the null hypothesis.

So there is no sufficient evidence to support the claim that there is a difference among the means.

The ANOVA table is :

Source       Sum of squares    d.f    Mean square    F

Between    127.1143                 2      63.55714          3.036212

Within        669.8571             32      20.93304

Total           796.9714            34

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Add 5 to both sides     (addition of property equality)

x = 15

Answer

x = 15 is the solution

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