One of the biggest factors in determining the value of a home is the square footage. The accompanying data represent the square footage and selling price (in thousands ofdollars) for a random sample of homes for sale in a certain region. Complete all parts below
(A.) Which variable is the explanatory variable?
a. selling price
b. square footage
Square Footage, x Selling Price ($000s), y
2221 382.7
3046 353.4
1175 197.2
1938 332.2
3166 630.2
2857 383.9
4086 623.6
2096 359
2653 431.9
1745 303.8
1784 270.8
3951 711
(c) Determine the linear correlation coefficient between square footage and asking price.
r=____ (Round to three decimal places as needed.)
(d) Is there a linear relation between square footage and asking price?
a.Yes
b. No
(e) Find the least-squares regression line treating square footage as the explanatory variable.
^y =__x+(___) (Round to two decimal places as needed.)
(f) Interpret the slope. Select the correct choice below and, if necessary, fill in the answer box to complete your choice.
A.For a house that is 0 square feet, the predicted selling price is ____ thousand dollars. (Round to two decimal places as needed.)
B.For a house that is sold for $0, the predicted square footage is ____ (Round to two decimal places as needed.)
C.For every additional square foot, the selling price increases by____ thousand dollars, on average. (Round to two decimal places as needed.)
D.For every additional thousand dollars in selling price, the square footage increases by ____ square feet, on average. (Round to two decimal places as needed.)
E.It is not appropriate to interpret the slope.
(g) Is it reasonable to interpret the y-intercept? Why? Select the correct choice below and, if necessary, fill in the answer box to complete your choice.
A.Yes—a house of ___ square feet is possible and within the scope of the model. (Type an integer or a simplified fraction.)
B.No—a house of_____square feet is not possible. (Type an integer or a simplified fraction.)
C.No—a house of____ square feet is not possible and outside the scope of the model. (Type an integer or a simplified fraction.)
D.No—a house of_____ square feet is outside the scope of the model (Type an integer or a simplified fraction.)
E.
More information about the houses is necessary before deciding.
(h) One home that is
14241424
square feet is sold for
$205205
thousand. Is this home's price above or below average for a home of this size?
The home's price is
▼
below
above
the average price. The average price of a home that is
14241424
square feet is
$nothing
thousand.
(Round to the nearest whole number as needed.)
One of the biggest factors in determining the value of a home is the square footage....
One of the biggest factors in determining the value of a home is the square footage. The accompanying data represent the square footage and selling price in thousands of dollars) for a random sample of homes for sale in a certain region. Complete parts (a) through (h) below. square feet, on average. Click the icon to view the housing data. D. For every additional thousand dollars in selling price, the square footage increases by (Round to three decimal places as...
One of the biggest factors in determining the value of a home is the square footage. The accompanying data represent the square footage and selling price on thousands of dollars) for a random sample of homes for sale in a certain region Complete parts (a) through) below Click the icon to view the housing data Data Table (1) Draw a scatter diagram of the data Choose the correct scatter OA 700 AY 000 Selling Price 15000). 3744 3516 1865 3224...
One of the biggest factors in determining the value of a home is the square footage. The accompanying data represent the square footage and selling price (in thousands of dollars) for a random sample of homes for sale in a certain region. Complete parts (a) through (h) below. Square Footage Selling Price ($000s), y 2095 362.9 3122 364.9 1085 183.2 1935 331.9 3149 626.8 2772 370.3 3963 604.3 2170 370.5 2710 440.8 1695 296 1763 267.5 3723 675.7 (a) Which...
This Question: 1 pt 10 of 15 (12 complete) A Data Table One of the biggest factors in determining the value of a home dollars) for a random sample of homes for sale. Complete part Es: Click the icon to view the data table. = Click the icon to view a table of critical values for the corre (a) Which variable is the explanatory variable? O A. Determining the value of a home OB Number of homes OC. Asking price...
(is/is not) (more/less) Square_Feet Price_($000) 1,166 262 3,079 608 1,565 281 1,066 223 2,067 328 2,386 361 905 187 2,929 431 1,365 284 2,908 565 2,944 412 1,309 289 1,828 305 1,629 313 1,884 324 2,267 438 1,134 233 2,593 509 1,115 258 1,749 325 The accompanying data table contains the listed prices (in thousands of dollars) and the number of square feet for 20 homes listed by a realtor in a certain city. Complete parts a through f below....
Suppose that in a certain neighborhood, the cost of a home (in thousands) is proportional to the size of the home in square feet. The regression equation quantifying this relationship is found to be (price) = 0.048*(size) + 39.137. You look more closely at one of the houses selected. The house is listed as having 1383.117 square feet and is listed at a price of $107.544 (thousand). The residual is 2.017. Interpret this residual in terms of the problem. Question...
House price y is estimated as a function of the square footage of a house x and a dummy variable d that equals 1 if the house has ocean views. The estimated house price, measured in $1,000s, is given by yˆy^ = 118.90 + 0.12x + 52.60d. a-1. Compute the predicted price (in $1,000s) of a house with ocean views and square footage of 2,000. (Round intermediate calculations to at least 4 decimal places. Round your answer to 2 decimal...
Suppose the average size of a new house built in a certain county in 2014 was 2,272 square feet. A random sample of 25 n deviation of 225 square feet. Complete parts a and b. a. Using a = 0.02, does this sample provide enough evidence to conclude that the average house size of a new home in the Determine the null and alternative hypotheses. Нор HP (Type integers or decimals. Do not round.) Determine the appropriate critical value. Select...
Tests A division of a multinational retail company prepared a presentation to give at the home office in Paris, France. The presentation includes a scatterplot that shows the relationship between square footage and annual sales in retail outlets owned by the chain. The units in the plot show the size in thousands of square feet and the response in thousands of dollars. A fitted line in the plot is y = 48 +683x. Complete parts a through d below. (a)...
Suppose a government department would like to investigate the relationship between the cost of heating a home during the month of February in the Northeast and the home's square footage. The accompanying data set shows a random sample of 10 homes. Construct a 90% confidence interval to estimate the average cost in February to heat a Northeast home that is 2,300 square feet. EEB Click the icon to view the data table. Determine the upper and lower limits of the...