A real estate agency collects data concerning the sales of a house  (in thousands of dollars) and the home size (in hundreds of square feet). The data are given in the table below.                Sales Price (Y, $1,000)  Home Size (X, 100 sf)______                                         180                                       23                                                                                                              98.1                                    11                                         173.1                                     20                                         136.5                                    17                                         141                                      15                                         165.9                                    21                                         193.5                                     24                                         127.8                                    13                                            ,     ,          ,       (a) Develop an estimated regression equation for these data. (b) What is the economic implication of the model? (c) If a house has 2,500 square feet, what is your prediction of the sales price?   (Note: For your convenience, you can copy/ paste the following notations.)

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 A real estate agency collects data concerning the sales of a house  (in thousands of dollars) and the home size (in hundreds of square feet). The data are given in the table below.

 

             Sales Price (Y, $1,000)  Home Size (X, 100 sf)______

                                        180                                       23                                                                                                              98.1                                    11

                                        173.1                                     20

                                        136.5                                    17

                                        141                                      15

                                        165.9                                    21

                                        193.5                                     24

                                        127.8                                    13

                                        

 

,     ,          ,    

 

(a) Develop an estimated regression equation for these data.

(b) What is the economic implication of the model?

(c) If a house has 2,500 square feet, what is your prediction of the sales price?

 

(Note: For your convenience, you can copy/ paste the following notations.)

 

6. A real estate agency collects data concerning the sales of a house (in thousands of dollars)
and the home size (in hundreds of square feet). The data are given in the table below.
Sales Price (Y, $1,000) Home Size (X, 100 sf)
180
23
98.1
11
173.1
20
136.5
17
141
15
165.9
21
193.5
24
127.8
13
Σx 144 , ΣΥ 1,215.9,
Ex;y; = 22,905.9,
Σx2,750
(a) Develop an estimated regression equation for these data.
(b) What is the economic implication of the model?
(c) If a house has 2,500 square feet, what is your prediction of the sales price?
(Note: For your convenience, you can copy/ paste the following notations.)
H, P, X, P, Ho, Ha, 0, S, Za, Za/2, Zo.1» Zo.05, Zo.025, Zo.01, Zo.005, ta, ta/2, to.1, to.o5, to.025, to.01, to.005,
SSzy
Fa, Fo.1, Fo.o5, Fo.01,>,<,=,+,±,h,Hz, P(Z > ),P(Z <), P(T > ), P(T <), bo, b,
ху
SSx
P(1– p)
Za/2
- =
p- p
Za/2
',T
S
P(1-p)
п
Transcribed Image Text:6. A real estate agency collects data concerning the sales of a house (in thousands of dollars) and the home size (in hundreds of square feet). The data are given in the table below. Sales Price (Y, $1,000) Home Size (X, 100 sf) 180 23 98.1 11 173.1 20 136.5 17 141 15 165.9 21 193.5 24 127.8 13 Σx 144 , ΣΥ 1,215.9, Ex;y; = 22,905.9, Σx2,750 (a) Develop an estimated regression equation for these data. (b) What is the economic implication of the model? (c) If a house has 2,500 square feet, what is your prediction of the sales price? (Note: For your convenience, you can copy/ paste the following notations.) H, P, X, P, Ho, Ha, 0, S, Za, Za/2, Zo.1» Zo.05, Zo.025, Zo.01, Zo.005, ta, ta/2, to.1, to.o5, to.025, to.01, to.005, SSzy Fa, Fo.1, Fo.o5, Fo.01,>,<,=,+,±,h,Hz, P(Z > ),P(Z <), P(T > ), P(T <), bo, b, ху SSx P(1– p) Za/2 - = p- p Za/2 ',T S P(1-p) п
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