If we want to examine the relationship between ZIP code and real estate prices, we can...
If we want to examine the relationship between ZIP code and real estate prices, we can use
| a. |
none of these options |
|
| b. |
scatterplots |
|
| c. |
counts and corresponding charts of the counts |
|
| d. |
histograms |
Homework Answers
Answer :-
In the given problem statement, ZIP code is a nominal variable as it is used as an identifier of a region and the real estate prices are a continuous variable.
So to model the above data, the best option would be to use a bar diagram, which is not depicted in options b. , c. and d.
Correct Option : a. None of these options
Add Answer to:
If we want to examine the relationship between ZIP code and real
estate prices, we can...
A. To examine relationships between a categorical and a numerical variable, we can use a. counts...
A. To examine relationships between a categorical and a numerical variable, we can use a. counts and corresponding charts of the counts b. scatterplots c. correlation matrices d. box-whisker plots B. Coding all Business majors as 1 and all others as 0 in a data set illustrates the use of a. numerical variables b. dummy variables c. ordinal variables d. nominal variables C. Abby has been keeping track of what she spends on Starbucks coffee. The last seven week's expenditures,...
A real estate company wants to study the relationship between house sales prices and some important...
A real estate company wants to study the relationship between house sales prices and some important predictors of sales prices. Based on data from recently sold homes in the area, the variables y = sales price (in thousands of dollars) x, = total floor area (in square feet) X = number of bedrooms Xz = distance to nearest high school in miles) are used in a multiple regression model. The estimated model is y = 86+0.082x, +15x2 - 6xz. Answer...
A real estate company wants to study the relationship between house sales prices and some important...
A real estate company wants to study the relationship between house sales prices and some important predictors of sales prices. Based on data from recently sold homes in the area, the variables y - sales price (in thousands of dollars) Xy - total floor area (in square feet) = number of bedrooms *; - distance to nearest high school (in miles) are used in a multiple regression model. The estimated modelis 9 – 188+0.073x, +21x2 - 6x3 50 00 Answer...
A real estate company wants to study the relationship between house sales prices and some important...
A real estate company wants to study the relationship between house sales prices and some important predictors of sales prices. Based on data from recently sold homes in the area, the variables y= sales price (in thousands of dollars) * " total floor area (in square feet) * number of bedrooms X; - distance to nearest high school (in miles) are used in a multiple regression model. The estimated model is 9 - 79+0,065x + 25x2 - 7*3 Answer the...
29. Suppose that real es in Suppose that real estate market prices are expected to increase...
29. Suppose that real es in Suppose that real estate market prices are expected to increase in the near future. Ceteris paribus (now today the real estate market there will most likely be a. a decrease in the demand. b. a decrease in the quantity demanded. c. an increase in the demand. d. an increase in the quantity demanded. Suppose that real estate market prices are expected to decrease in the near future. Ceteris paribus (now/today2 in the real estate...
We want to determine the strength of the relationship between the independent variable "age" and the...
We
want to determine the strength of the relationship between the
independent variable "age" and the dependent variable "intelligence
quotient". In our sample, the mean of the variable "age" is equal
to 14, and its variance is equal to 46,4. The mean of the variable
"intelligence quotient" is equal to 102, and its variance is equal
to 0. The list of corresponding data for the two variables is
pictured below.
Determine the value of the correlation coefficient between the
two...
A real estate appraiser explored the relationship between sales price of apartment buildings (Y) and physical...
A real estate appraiser explored the relationship between sales price of apartment buildings (Y) and physical condition (excellent, good, or fair). His goal is to build a regression model to predict sales price using physical condition. From the options below, which ones are the correct ways to create the indicator variables for the regression model? None of the options is correct X1 - 1 if condition is excellent, otherwise. X2 - 1 if condition is fair, otherwise. X = 1...
We want to design our die class (to be named aDie) such that we can have...
We want to design our die class (to be named aDie) such that we can have statements such as: aDie D; // To instantiate a Die object int rolled = D; // To get the value rolled by D rolled = D + D; // To get the value of the sum of 2 rolls of the die aDie d1, d2; // to instantiate 2 dice rolled = d1 + d2; // To get the value of the sum of...
A real estate broker studied apartment prices. The highest-priced apartments increased in value while the rest...
A real estate broker studied apartment prices. The highest-priced apartments increased in value while the rest of the prices remained the same. How should he expect the statistics to change? A. The mean and standard deviation would change; the median and interquartile range would not change B. All of the statistics would change C. None of the statistics would change D. The median and interquartile range would change; the mean and standard deviation would not change
A real estate broker studied apartment prices. The highest-priced apartments increased in value while the rest...
A real estate broker studied apartment prices. The highest-priced apartments increased in value while the rest of the prices remained the same. How should he expect the statistics to change? A. All of the statistics would change B. The median and interquartile range would change; the mean and standard deviation would not change C. The mean and standard deviation would change; the median and interquartile range would not change D. None of the statistics would change 2. If the probability...
A real estate company wants to study the relationship between house sales prices and some important predictors of sales prices. Based on data from recently sold homes in the area, the variables y = sales price (in thousands of dollars) x, = total floor area (in square feet) X = number of bedrooms Xz = distance to nearest high school in miles) are used in a multiple regression model. The estimated model is y = 86+0.082x, +15x2 - 6xz. Answer...
A real estate company wants to study the relationship between house sales prices and some important predictors of sales prices. Based on data from recently sold homes in the area, the variables y - sales price (in thousands of dollars) Xy - total floor area (in square feet) = number of bedrooms *; - distance to nearest high school (in miles) are used in a multiple regression model. The estimated modelis 9 – 188+0.073x, +21x2 - 6x3 50 00 Answer...
A real estate company wants to study the relationship between house sales prices and some important predictors of sales prices. Based on data from recently sold homes in the area, the variables y= sales price (in thousands of dollars) * " total floor area (in square feet) * number of bedrooms X; - distance to nearest high school (in miles) are used in a multiple regression model. The estimated model is 9 - 79+0,065x + 25x2 - 7*3 Answer the...
29. Suppose that real es in Suppose that real estate market prices are expected to increase in the near future. Ceteris paribus (now today the real estate market there will most likely be a. a decrease in the demand. b. a decrease in the quantity demanded. c. an increase in the demand. d. an increase in the quantity demanded. Suppose that real estate market prices are expected to decrease in the near future. Ceteris paribus (now/today2 in the real estate...
We
want to determine the strength of the relationship between the
independent variable "age" and the dependent variable "intelligence
quotient". In our sample, the mean of the variable "age" is equal
to 14, and its variance is equal to 46,4. The mean of the variable
"intelligence quotient" is equal to 102, and its variance is equal
to 0. The list of corresponding data for the two variables is
pictured below.
Determine the value of the correlation coefficient between the
two...
A real estate appraiser explored the relationship between sales price of apartment buildings (Y) and physical condition (excellent, good, or fair). His goal is to build a regression model to predict sales price using physical condition. From the options below, which ones are the correct ways to create the indicator variables for the regression model? None of the options is correct X1 - 1 if condition is excellent, otherwise. X2 - 1 if condition is fair, otherwise. X = 1...
A real estate broker studied apartment prices. The highest-priced apartments increased in value while the rest of the prices remained the same. How should he expect the statistics to change? A. The mean and standard deviation would change; the median and interquartile range would not change B. All of the statistics would change C. None of the statistics would change D. The median and interquartile range would change; the mean and standard deviation would not change
Most questions answered within 3 hours.
-
Extended exposure can cause hearing loss. Is this
sensorineural hearing loss or conduction hearing loss? Explain....
asked 48 seconds ago -
a
conducting spherical shell of inner radius a and outer radius b has
a point charge...
asked 35 seconds ago -
If a family spends its entire budget in a given time frame, the
family can afford...
asked 2 minutes ago -
Q. A buffer solution prepared by mixing 50.00 mL of 0.200 M
acetic acid and 50.00...
asked 17 minutes ago -
PLEASE DO BOTH OF THESE IN PYTHON!!! AND MAKE SURE THAT
I CAN COPY THE CODE....
asked 15 minutes ago -
While fishing you discover two types of mullet. Some
of the mullet jump out of the water...
asked 12 minutes ago -
4. How could the Fed "finance the government's debt"? How does
that work, exactly?
5. In...
asked 18 minutes ago -
The x component of the velocity of an object vibrating
along the x-axis obeys the equation...
asked 1 hour ago -
A junction box contains two trade size 2 raceways on the left
side, and two trade...
asked 1 hour ago -
Atmospheric Mass
Venus and Earth have about the same mass and radius, but the
atmospheric pressure...
asked 2 hours ago -
5. Discuss the use of fault tree analysis (FTA) for risk
assessment (maximum one paragraph).
asked 3 hours ago -
Given that a sample of aluminium oxide has a Young's modulus of
393 GPa and a...
asked 5 hours ago