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wolverine [178]
3 years ago
7

Suppose the linear regression line y=2.1x+130 predicts sales based on the money spent on advertising. If x represents the dollar

s spent in advertising, and yea represents the company sales in dollars, about how much can the company expects in sales if it spends $150 in advertising
Mathematics
1 answer:
slega [8]3 years ago
5 0

Linear regression line y=2.1x+130 predicts sales based on the money spent on advertising.

Linear regression represents the relationship between two variables. the value of y depends on the value of x.

x represents the dollars spent in advertising and y represents the company sales in dollars.

We need to find out sales y when $150 spends on advertising.

Plug in 150 for x and find out y

y = 2.1 x + 130

y = 2.1 (150) + 130

y= 445

The company expects $445 in sales

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Problem 1

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Amplitude = 2
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d = 3

The function is
y = a*sin(bx-c)+d
y = 2*sin(1/3*x-0)+3
y = 2*sin(x/3)+3

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Problem 2

See the attached image (figure 2) 

T = 12 is the period
a = 4 is the amplitude
b = 2pi/T = 2pi/12 = pi/6
y = 1 is the midline so d = 1
The y intercept is (0,1) which is the midline, which indicates no phase shifts have occurred so c = 0

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y = a*sin(bx-c)+d
y = 4*sin((pi/6)x-0)+1
y = 4*sin((pi/6)x)+1

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Problem 3

See the attached image (figure 3)

Period = 4pi
T = 4pi
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a = 2
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d = 3
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The function is
y = a*sin(bx-c)+d
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===============================================

Problem 4

See the attached image (figure 4)

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y = a*sin(bx-c)+d
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Problem 5

See the attached image (figure 5)

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y = a*sin(bx-c)+d
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8 0
3 years ago
Read 2 more answers
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lisabon 2012 [21]
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3 years ago
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maksim [4K]

Answer:

The appropriate solution is:

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(2) 0.171

Step-by-step explanation:

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The mean arrival rate will be:

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The mean service rate will be:

\mu= 7.05 \ cabs/hr

(1)

The average time a cab must wait will be:

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⇒       =\frac{161.798-1}{7.05}

⇒       =\frac{160.798}{7.05}

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mixer [17]

Answer:

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Thus number of times each design is used \frac{76}{6} = 12 \frac{4}{6}.

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3 0
3 years ago
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The Expression:

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