The below dataset AirBnB2 lists the daily price for a sample of rental properties.   The data shows the number of reviews of the property, the number of days available during the year, and whether the rental is a shared space or the entire house/apartment.  In addition, the response variables is the daily price of the rental.   (A) Code the variable room_type as Entire house = 1 and Shared rental = 0.  Report the estimated regression equation predicting the price as a function of number of reviews, availability, and whether it is a shared space or entire house in the space provided below.  There are three independent variables and one response variable. (B) In addition, use the model to predict the price for a rental that is the entire house, has 100 reviews, and is available 365 days a year.  Write your response in the space provided below. (C) Interpret the slope coefficient for the number of days available variable (availability_365) in context to this problem in the space provided below.   Round all the coefficients and answers to three decimal places. room_type number_of_reviews availability_365 price Shared rental 1 365 83 Shared rental 18 365 81 Shared rental 20 365 69 Shared rental 14 353 206 Shared rental 22 355 94 Shared rental 39 346 104 Shared rental 25 172 208 Shared rental 174 59 50 Shared rental 198 133 54 Shared rental 236 147 42 Shared rental 18 331 44 Shared rental 10 276 40 Shared rental 12 239 417 Shared rental 125 336 65 Shared rental 13 340 44 Shared rental 10 331 40 Shared rental 3 361 31 Shared rental 45 357 49 Shared rental 0 173 81 Shared rental 84 340 60 Shared rental 157 349 60 Shared rental 27 364 56 Shared rental 16 300 104 Shared rental 0 365 37 Shared rental 23 345 53 Entire house 11 362 276 Shared rental 0 365 167 Shared rental 28 90 100 Shared rental 0 0 208 Shared rental 0 365 26

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
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Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
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The below dataset AirBnB2 lists the daily price for a sample of rental properties.   The data shows the number of reviews of the property, the number of days available during the year, and whether the rental is a shared space or the entire house/apartment.  In addition, the response variables is the daily price of the rental.

 

(A) Code the variable room_type as Entire house = 1 and Shared rental = 0.  Report the estimated regression equation predicting the price as a function of number of reviews, availability, and whether it is a shared space or entire house in the space provided below.  There are three independent variables and one response variable.

(B) In addition, use the model to predict the price for a rental that is the entire house, has 100 reviews, and is available 365 days a year.  Write your response in the space provided below.

(C) Interpret the slope coefficient for the number of days available variable (availability_365) in context to this problem in the space provided below.

 

Round all the coefficients and answers to three decimal places.

room_type number_of_reviews availability_365 price
Shared rental 1 365 83
Shared rental 18 365 81
Shared rental 20 365 69
Shared rental 14 353 206
Shared rental 22 355 94
Shared rental 39 346 104
Shared rental 25 172 208
Shared rental 174 59 50
Shared rental 198 133 54
Shared rental 236 147 42
Shared rental 18 331 44
Shared rental 10 276 40
Shared rental 12 239 417
Shared rental 125 336 65
Shared rental 13 340 44
Shared rental 10 331 40
Shared rental 3 361 31
Shared rental 45 357 49
Shared rental 0 173 81
Shared rental 84 340 60
Shared rental 157 349 60
Shared rental 27 364 56
Shared rental 16 300 104
Shared rental 0 365 37
Shared rental 23 345 53
Entire house 11 362 276
Shared rental 0 365 167
Shared rental 28 90 100
Shared rental 0 0 208
Shared rental 0 365 26

 

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