Coefficients Standard Error Stat ercept 0 82 0.18 4.56 footage 061 0.23 2.65 0.34 0.11 3.09 bedrooms -0.0095 3.7 -2.57 uilding age 0.28 0.15 1.87 ocation Write an equation that can be used to predict the rent of an apartment. According to this model, the rent of an apartment is expected to be how many dollars higher /lower if it is within 5 minutes of publjc transport, everything else beung ngua e If an apartment has a surface of 2000 sq. ft., 3 bedrooms, is in a 20 year old building within 5 minutes walk of public transport, what is the estimanted rent"
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
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stion 36
A real estate agent collected information on the rents of 50 apartments (in $1000) as well as their Sq. footage (in thousands of sq ft), number of bedrooms, building age
S within 5-mınute walk to public transport, 0 otherwise) You are given below the Excel ouput of the multiple regression model.
Regression Statistics
Multiple R
0.85
R Square
0.72
Adjusted R Square
0.68
Standard Error
0.25
Observations
50
Coefficients
Standard Error
Stat
0 82
0.18
4.56
Intercept
0.23
2.65
061
Sq footage
0.11
3.09
034
bedrooms
3.7
-2.57
.0 0095
Buiding age
0.15
187
0 28
Location
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50
Coefficients
Standard Error
Stat
082
0.18
mercept
4.56
footage
061
0.23
2.65
0.34
0.11
3.09
bedrooms
-0 0095
3.7
-2.57
Building age
0.28
0.15
1.87
Location
a Write an equation that can be used to predict the rent of an apartment.
b According to this model, the rent of an apartment is expected to be how many dollars higher /lower if it is withun 5 minutes of public transport, everything else being equal
e lf an apartment has a surface of 2000 sq. ft., 3 bedrooms, is in a 20 year old building within 5 minutes walk of public transport, what is the estimated rent"
d. Provide a 95% confidence interval for the rent estimate in part c.
e. Determine if the building age is a significant variable ((Yes/No)
3 (12pt)
v T-E -E
TTT Anal
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