Question
In: Statistics and Probability
This data gives the square footage and sales prices for several houses and sales prices for...
This data gives the square footage and sales prices for several houses and sales prices for several houses in Dallas, Texas.
| Square Footage | Value |
| 2000 | 238139.4 |
| 2200 | 259712 |
| 2400 | 300953.7 |
| 3000 | 369965.7 |
| 3200 | 340091.3 |
| 3600 | 405425 |
| 2900 | 345131 |
- You plan to build a 500-sqaure-foot addition to your house. How much do you think your home value will increase as a result?
- What percentage of the variation in home value is explained by the variation in the house size?
Please set up using an excel worksheet and show any formulas used.
Solutions
orchestra answered 1 year agoRelated Solutions
Use the data below to solve. The data gives the square footage and sales prices for...
Use the data below to solve. The data gives the square footage
and sales prices for several houses in Bellevue, Washington. Use
this information to solve the following:
PLEASE SHOW YOUR WORK : )
1) You plan to build a 500 square foot addition to your home.
How much do you think your home value will increase as a
result?
2) What percentage of the variation in home value is explained
by the variation in the house size?
3) A...
The city government has collected data on the square footage of houses within the city. They...
The city government has collected data on the square footage of
houses within the city. They found that the average square footage
of homes within the city limit is 1,240 square feet while the
median square footage of homes within the city limits is 1,660
square feet. The city government also found that the standard
deviation of home square footage within the city limits is 198
square feet. A statistician hired by a local home-carpeting company
is going to randomly...
The city government has collected data on the square footage of houses within the city. They...
The city government has collected data on the square footage of
houses within the city. They found that the average square footage
of homes within the city limit is 1,240 square feet while the
median square footage of homes within the city limits is 1,660
square feet. The city government also found that the standard
deviation of home square footage within the city limits is 198
square feet. A statistician hired by a local home-carpeting company
is going to randomly...
The following data give the selling price and square footage of houses that have sold in...
The following data give the selling
price and square footage of houses that have sold in Bend, OR in
the past 6 months.
Selling Price
($)
Square Footage
84,000
1,670
79,000
1,339
91,500
1,712
120,000
1,840
127,500
2,300
132,500
2,234
145,000
2,311
164,000
2,377
155,000
2,736
168,000
2,500
172,500
2,500
174,000
2,479
175,000
2,400
177,500
3,124
184,000
2,500
195,500
4,062
195,000
2,854
Graph the data to see whether a linear equation might describe
the relationship between selling price and the...
The city government has collected data on the square footage of houses within the city. They...
The city government has collected data on the square footage of
houses within the city. They found that the average square footage
of homes within the city limit is 1,240 square feet while the
median square footage of homes within the city limits is 1,660
square feet. The city government also found that the standard
deviation of home square footage within the city limits is 198
square feet. A statistician hired by a local home-carpeting company
is going to randomly...
The following data give the selling price, square footage, number of bedrooms, and age of houses...
The following data give the selling price, square footage,
number of bedrooms, and age of houses that have sold in a
neighborhood in the past 6 months. Develop three regression models
to predict the selling price based upon each of the other factors
individually. Which of these is best? use 1 for yes and 0 for
no
develop a regression model to predict selling price based on the
square footage and number of bedrooms. Use this to predict the
selling...
The following data give the selling price, square footage, number of bedrooms, and age of houses...
The following data give the selling price, square footage,
number of bedrooms, and age of houses that have sold in a
neighborhood in the past 6 months. Develop three regression models
to predict the selling price based upon each of the other factors
individually. Which of these is best?
Selling Price
Square Footage
Bedrooms
Age (Years)
84000
1670
2
30
79000
1339
2
25
91500
1712
3
30
120000
1840
3
40
127500
2300
3
18
132500
2234
3
30...
The following data gives the selling price, square footage, number of bedrooms, and the age of...
The following data gives the selling price, square footage,
number of bedrooms, and the age of a house in years. These houses
have been sold in a specific neighborhood over the last six
months.
Selling Price ($)
Square Footage
Bedrooms
Age (years)
84,000
1,670
2
30
79,000
1,339
2
25
91,500
1,712
3
30
120,000
1,840
3
40
127,500
2,300
3
18
132,500
2,234
3
30
145,000
2,311
3
19
164,000
2,377
3
7
155,000
2,736
4
10
168,000
2,500...
2) The following data gives the selling price, square footage, number of bedrooms, and the age...
2) The following data gives the selling price, square footage,
number of bedrooms, and the age of a house in years. These houses
have been sold in a specific neighborhood over the last six
months.
Selling Price ($)
Square Footage
Bedrooms
Age (years)
84,000
1,670
2
30
79,000
1,339
2
25
91,500
1,712
3
30
120,000
1,840
3
40
127,500
2,300
3
18
132,500
2,234
3
30
145,000
2,311
3
19
164,000
2,377
3
7
155,000
2,736
4
10
168,000...
2) The following data gives the selling price, square footage, number of bedrooms, and the age...
2) The following data gives the selling price, square footage,
number of bedrooms, and the age of a house in years. These houses
have been sold in a specific neighborhood over the last six
months.
Selling Price ($)
Square Footage
Bedrooms
Age (years)
84,000
1,670
2
30
79,000
1,339
2
25
91,500
1,712
3
30
120,000
1,840
3
40
127,500
2,300
3
18
132,500
2,234
3
30
145,000
2,311
3
19
164,000
2,377
3
7
155,000
2,736
4
10
168,000...
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