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yuradex [85]
3 years ago
9

Please help WILL MARK BRAINLIEST HURRY LOOK AT PHOTO

Mathematics
2 answers:
Aleks04 [339]3 years ago
5 0

Answer:

I believe it is D I'm a senior in pre-cal but I also dont have paper so I did it in my head rq

Jlenok [28]3 years ago
5 0

Answer:

Option B

\red{ \boxed{ \bold{ {f}^{ - 1} (x) = \sqrt[3]{ - x - 9} }}}

Step-by-step explanation:

f(x) =  -  {x}^{3}  - 9  \\ plug \: f(x) = y \\   \implies \: y =   - {x}^{3}  - 9 \\ interchange \: x \: and \: y \\  \\ x =  -  {y}^{3}  - 9 \\  \\ x + 9 =  -  {y}^{3}  \\  \\  - x - 9 =  {y}^{3}  \\  \\   \sqrt[3]{ - x - 9}  = y \\  \\ \sqrt[3]{ - x - 9} =  {f}^{ - 1} (x) \\  \\ \red{ \boxed{ \bold{ {f}^{ - 1} (x) = \sqrt[3]{ - x - 9} }}}

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You are thinking about opening up a Starbucks in your area but what to know if it is a good investment. How much money do Starbu
velikii [3]

Answer:

The estimated multiple regression equation is ^Y= -49.17 + 15.03X₁ + 0.17X₂ + 12.23X₃ + 14.29X₄ -2.96X₅

Step-by-step explanation:

Hello!

To estimate a model to predict if it is a good investment to open a Starbucks.

Using the information of 27 Starbucks stores, and given the variables:

Y: Annual net sales ($1000)

X₁: Monthly rent ($1000)

X₂: Inventory expenses ($1000)

X₃: Advertising expenses ($1000)

X₄: Monthly sales ($1000)

X₅: Number of competitor stores in the area.

The multiple regression model is

Y= β₀ + β₁X₁ + β₂X₂ + β₃X₃ + β₄X₄ + β₅X₅ + ε

Using a statistics software I've estimated the regression equation:

^Y= -49.17 + 15.03X₁ + 0.17X₂ + 12.23X₃ + 14.29X₄ -2.96X₅

Where:

b₀: -49.17 thousand dollars  represents the estimated average annual net sales when the monthly rent, the inventory expenses, the advertising expenses,  the monthly sales and the number of competitors in the area are zero.

b₁: 15.03 represents the variation in the estimated average annual sales when the monthly rent increases $1000 and all other variables remain constant.

b₂: 0.17 represents the variation in the estimated average annual sales when the inventory expenses increase $1000 and all other variables remain constant.

b₃: 12.23 represents the variation in the estimated average annual sales when the advertisement expenses increase $1000 and all other variables remain constant.

b₄: 14.29 represents the variation in the estimated average annual sales when the monthly sales increase $1000 and all other variables remain constant.

b₅: -2.96 represents the variation in the estimated average annual sales when the number of competitors in the area increase in one unit and all other variables remain constant.

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I hope this helps!

7 0
3 years ago
What decimal percent so shaded part of the model below
Serga [27]
The answer is 3/10 cause 3 bars out of 10 are shaded in.

hope it helped!!!
8 0
4 years ago
Read 2 more answers
Log_c(A)=2<br> log_c(B)=5, <br> solve log_c(A^5B^3)
vlabodo [156]

We know that \log_a(bc)=\log_a(b)+\log_a(c).

Using this rule,

\log_c(A^5B^3)=\log_c(A^5)+\log_c(B^3).

We also know that \log_c(a^b)=b\log_c(a).

Using this rule,

\log_c(A^5)+\log_c(B^3)=5\log_c(A)+3\log_c(B)

Now we know that \log_c(A)=2,\log_c(B)=5 so,

5\cdot2+3\cdot5=10+15=\boxed{25}.

Hope this helps :)

3 0
3 years ago
for the party,the chef makes a large cake using 325 grams of flour ,137 grams of butter ,0.53 kilogram of sugar and 0.5 kilogram
Rom4ik [11]

Answer:

1.492 kg

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<h2>PLEASE MAKE ME BRAINLIEST!!!</h2>

7 0
4 years ago
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n200080 [17]

Answer:

B

Step-by-step explanation:

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