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bazaltina [42]
4 years ago
14

Construct a 95% confidence interval estimate of the population slope. 9. Construct a 95% confidence interval estimate of the mea

n monthly rental for all onebedroom apartments that have 800 square feet in size. 10. Construct a 95% prediction interval of the monthly rental for an individual one-bedroom apartment that is 800 square feet in size.
Mathematics
1 answer:
Zigmanuir [339]4 years ago
7 0

Answer:

An agent for a residential real estate company has the business objective of developing more accurate estimates of the monthly rental cost for apartments. Toward that goal, the agent would like to use the size of an apartment, as defined by square footage, to predict the monthly rental cost. The agent selects a sample 48 one-bedroom apartments and collects and stores a data in dataset RentSilverSpring (can be found in both editions of datasets on the Blackboard). 7. At the 0.05 level of significance, is there an evidence of a linear relationship between the size of the apartment and the monthly rent? 8. Construct a 95% confidence interval estimate of the population slope. 9. Construct a 95% confidence interval estimate of the mean monthly rental for all onebedroom apartments that have 800 square feet in size. 10. Construct a 95% prediction interval of the monthly rental for an individual one-bedroom apartment that is 800 square feet in size

see explanation

Step-by-step explanation:

H_0 : \beta_1 = 0\\H_A : \beta_1 \neq 0

Rejection rule

If p = value \leq \alpha (= 0.05), then reject the null hypothesis H_0

Using Excel (Mega stat in Adds-in) procedure

Step 1 ; Choose Mega Stat > Correlation/Regression > Regression Analysis

Step 2 ; Select input ranges, enter the variable as column of X, independent Variable(s) and eneter the variable as the column of Y, Dependent Variabe

Step 3; Chect the appropriate option in options. Enter 800 in preditor values

Step 4 ; Click Ok

The Value of the test statistics is t = 2.570

Therefore by rejection rule , reject the null hypothesis H_0

There is sufficient evidence at level of significance \alpha = 0.05

There is significant linear relationship between the size of the apartment and monthly rent

(8) The 95% confidence interval estimate of the population slope is 0.1069 < \beta_1 < 0.8795

(9) The 95% confidence interval estimate of the mean monthly rent for all one bedroom apartment that are 800 square feet in size is (1330.7500, 1444.2990)

(10) The 95% predition interval estimate of the mean monthly rental for all one bedroom apartment that are 800 square feet in size is (1008.7666, 1766.2860).

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There are 5000 undergraduates registered at a certain college. Of them, 448 are taking one course, are taking two courses, 675 a
olga55 [171]

Answer:

Step-by-step explanation:

Hello!

There are some values missing, so I'll find the probability distribution using others as example. Afterwards you can calculate the ones corresponding to this exercise following the same steps.

Considering there are 5000 undergraduates registered in the college.

465 are taking one course

658 are taking two courses

566 are taking three courses

1877 are taking four courses

1344 are taking five courses

90 are taking six courses

First you have to define the variable of interest. To identify it you have to ask yourself the following question: what is the characteristic of this population that is being measured?

The answer is "the number of courses an undergraduate is taking" and this will be the study variable X

X can take values from 1 to 6 courses.

To calculate the probability of each value of X, you have to divide the "number of students taking Xi courses" by "total number of students registered in the college"

For

X=1

P(1)= 465/5000= 0.093

X=2

P(2)= 658/5000= 0.1316

X=3

P(3)= 566/5000= 0.1132

X=4

P(4)= 1877/5000= 0.3754

X=5

P(5)= 1344/5000= 0.2688

X=6

P(6)= 90/5000= 0.018

For this to be a probability distribution the following condition should be met:

F(X)= ∑P(X) = 1

In this example: 0.093 + 0.1316 + 0.1132 + 0.3754 + 0.2688 + 0.018 = 1

I hope this helps!

7 0
3 years ago
The temperature falls from 0 degrees to Negative 12 and one-fourth degrees in 3 and one-half hours. Which expression finds the c
ANEK [815]

Answer:

The expression used to find the change in temperature per hour is Algebraic expression

Thus per hour; the temperature falls at the rate of - 3\dfrac{1}{2}^0

Step-by-step explanation:

A temperature falls from 0 to  - 12\dfrac{1}{4}     in     3\dfrac{1}{2} \ hours

Which expression finds the change in temperature per hour.

From the above given information;

The initial temperature is 0

The final temperature is  - 12\dfrac{1}{4}  

The change in temperature is \Delta T = T_2  -  T_1

\Delta  T = -12\dfrac{1}{4} -0

\Delta T = -12.25

Thus;

-12.25 ° = 3.5 hours

To find the change in x°   per hour; we have;

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The expression used to find the change in temperature per hour is Algebraic expression

From above if we cross multiply ; we have;

(- 12.25° × 1 hour) = (x° × 3.5 hour)

Divide both sides by 3.5 hours; we have:

\dfrac{-12.25^0*1 }{3.5}=\dfrac{ x^0 *3.5}{3.5}

x° =  - 3.5

x° = - 3\dfrac{1}{2}

Thus per hour; the temperature falls at the rate of - 3\dfrac{1}{2}^0

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3 years ago
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mafiozo [28]

Answer:

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Step-by-step explanation:

Constant of proportionality (k) = y/x

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Constant of proportionality (k) = 8/2

Constant of proportionality (k) = 4

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3 years ago
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