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d1i1m1o1n [39]
2 years ago
11

Each year a nationally recognized publication conducts its 'Survey of America's Best Graduate and Professional Schools.' An acad

emic advisor wants to predict the typical starting salary of a graduate at a top business school using GMAT score of the school as a predictor variable. Total GMAT scores range from 200 to 800. A simple linear regression of SALARY versus GMAT using 25 data points yields the regression equation given below. y = 228x - 92,040 Give an interpretation of the y-intercept. The value has no practical interpretation since a GMAT of 0 is nonsensical and outside the range of the sample data. We estimate the base SALARY of graduates of a top business school to be $-92,040. We estimate SALARY to decrease $92,040 for every 1-point increase in GMAT. We expect to predict SALARY to within 2(92040) = $184,080 of its true value using GMAT in a straight-line model.
Mathematics
1 answer:
Lady_Fox [76]2 years ago
3 0

Answer:

The correct answer is the value has no practical interpretation since a GMAT of 0 is nonsensical and outside the range of the sample data.

Step-by-step explanation:

Solution

Given that:

We define Define Y : dependent variable ( Starting salary of a graduate at a top business school )

Thus,

X : independent variable ( GMAT score )

So,

The Required linear regression equation is stated below:

y = 228 x - 92,040

Here,

The y intercept is = - 92040

The Interpretation of the y - intercept  is defined as:

The value has no practical interpretation since a GMAT of 0 is nonsensical and outside the range of the sample data .

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A region in the plane is bounded by the graph of y=1/x, the x-axis, the line x=m and the line x=3m, m>0. the area of this reg
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2 years ago
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Charles and Cynthia are purchasing a house. They obtained a 30-year, $535,000 mortgage at an annual interest rate of 3.6% compou
MA_775_DIABLO [31]

Answer:$4,369.17

Step-by-step explanation:

Compound interest (A)= P(1 + r/n)^not

A = compound interest

P = principal

r = rate

n = number of times the interest is compounded in a year

t = Time

From our data,

R = 3.6%

T =30 years

P = $535000

n= 12

A = 535000(1 + 0.036/12)^12*30

A= 535000*2.94

A= $1,572,900

In 30 years, we have (30*12) number of months = 360 months

To get the amount paid monthly, we divide the compound interest by the total number of months they'll repay the loan

Monthly payment = $1,572900/360 = $4,369.17

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romanna [79]
The rate of change of the risk of down syndrome (in percentage of births per year) is
r(x) = 0.004641x² - 0.3012x + 4.9,   20≤ x ≤ 45
where
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The function giving risk as a percentage of births when maternal age is x is the integral of r(x). That is,
f(x) = 0.001547x³ - 0.1506x² +4.9x + c

When x = 30, f = 0.14%. Therefore
0.001547(30³) - 0.1506(30²) + 4.9(30) + c = 0.14 
41.769 - 135.54 + 147 + c = 0.14
c = -53.089

Answer:
f(x) = 0.001547x³ - 0.1506x² + 4.9x - 53.089,   20 ≤ x ≤ 45

The function is graphed as shown below.

7 0
2 years ago
A group of friends has gotten very competitive with their board game nights. They have found that overall, they each have won an
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Answer: \mu_x=18\text{ hours}

\sigma_x=4\text{ hours}

Step-by-step explanation:

We know that mean and standard deviation of sampling distribution is given by :-

\mu_x=\mu

\sigma_x=\dfrac{\sigma}{\sqrt{n}}

, where \mu = population mean

\sigma =Population standard deviation.

n= sample size .

In the given situation, we have

\mu=18\text{ hours}

\sigma=6\text{ hours}

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Then, the expected mean and the standard deviation of the sampling distribution will be :_

\mu_x=\mu=18\text{ hours}

\sigma_x=\dfrac{\sigma}{\sqrt{n}}=\dfrac{6}{\sqrt{2}}=4.24264068712\approx4  [Rounded to the nearest whole number]

Hence, the the expected mean and the standard deviation of the sampling distribution :

\mu_x=18\text{ hours}

\sigma_x=4\text{ hours}

7 0
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