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Square Footage, x 2148 3231 1177 1988 3064 2735 4146 2215 2625 1629 1773 3887 Selling Price ($000s), y 371.1 382.2 197.6 339.9 614.9 364.7 632.7 377.7 427.5 285.9 268.9 701.4

Square Footage, x 2148 3231 1177 1988 3064 2735 4146 2215 2625 1629 1773 3887 Selling Price ($000s), y 371.1 382.2 197.6 339.9 614.9 364.7 632.7 377.7 427.5 285.9 268.9 701.4

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.4: Distributions Of Data
Problem 23PFA
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6:56 (a) Which variable is the explanatory variable? 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. Click the icon to view the housing data. Square Footage Selling Price (b) Draw a scatter diagram of the data. Choose the correct scatter diagram below. O A. АУ 4500- 1000- ...m 1000 4500 Data Table Square Footage, x 2148 3231 1177 1988 3064 2735 4146 2215 2625 1629 1773 3887 Print B. AX 4500+ 1000+ 150 ● ↓ ||| = 750 Done (c) Determine the linear correlation coefficient between square footage and asking price. r = 0.905 B. No a house of square feet is not possible. (Type an integer or a simplified fraction.) Ау 750- Selling Price ($000s), y D 371.1 382.2 197.6 339.9 614.9 364.7 632.7 377.7 427.5 285.9 268.9 701.4 150+ 1000 A. No-a house of square feet is outside the scope of the model (Type an integer or a simplified fraction.) Vo) 1 LE2 ... 46 ... O - 4500 Q OD. Yes-a house of square feet is possible and within the scope of the model. (Type an integer or a simplified fraction.) O E. More information about the houses is necessary before deciding. D. 750- 150+ fiable. lars. C. No-a house of square feet is not possible and outside the scope of the model. (Type an integer or a simplified fraction.) Ау 1000 ses by (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. 54% al place as needed.) er box to complete your 4500 dollars, on average. square feet, on
Transcribed Image Text:6:56 (a) Which variable is the explanatory variable? 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. Click the icon to view the housing data. Square Footage Selling Price (b) Draw a scatter diagram of the data. Choose the correct scatter diagram below. O A. АУ 4500- 1000- ...m 1000 4500 Data Table Square Footage, x 2148 3231 1177 1988 3064 2735 4146 2215 2625 1629 1773 3887 Print B. AX 4500+ 1000+ 150 ● ↓ ||| = 750 Done (c) Determine the linear correlation coefficient between square footage and asking price. r = 0.905 B. No a house of square feet is not possible. (Type an integer or a simplified fraction.) Ау 750- Selling Price ($000s), y D 371.1 382.2 197.6 339.9 614.9 364.7 632.7 377.7 427.5 285.9 268.9 701.4 150+ 1000 A. No-a house of square feet is outside the scope of the model (Type an integer or a simplified fraction.) Vo) 1 LE2 ... 46 ... O - 4500 Q OD. Yes-a house of square feet is possible and within the scope of the model. (Type an integer or a simplified fraction.) O E. More information about the houses is necessary before deciding. D. 750- 150+ fiable. lars. C. No-a house of square feet is not possible and outside the scope of the model. (Type an integer or a simplified fraction.) Ау 1000 ses by (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. 54% al place as needed.) er box to complete your 4500 dollars, on average. square feet, on
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