An agent for a property management company would like to be able to predict the monthly rental cost for apartments based on the size of the apartment as defined by square footage. A sample of the rent of 25 apartments in a college rental neighborhood was selected, and the information collected revealed the following:   Apartment Size (Sq. Ft.) Monthly Rent ($) 1 850 950 2 1,450 1,600 3 1,085 1,200 4 1,232 1,500 5 718 950 6 1,485 1,700 7 1,136 1,650 8 726 935 9 700 875 10 956 1,150 11 1,100 1,400 12 1,285 1,650 13 1,985 2,300 14 1,369 1,800 15 1,175 1,400 16 1,225 1,450 17 1,245 1,100 18 1,259 1,700 19 1,150 1,200 20 896 1,150 21 1,361 1,600 22 1,040 1,650 23 755 1,200 24 1,000 800 25 1,200 1,750 i)  Determine a 95% interval estimate for the average rent of apartments with 1000 square feet.  Determine ŷ1000 and interpret the interval estimate for the average rent completely…this has been done by Minitab, follow the notes. j) Predict the rent of an apartment with 1650 square feet. What is the S.D. of this estimate?  ie: determine ŷ1650 and SE(ŷ1650)…SE is the same here as it was in part b. k) Determine the correlation coefficient ‘r’ and interpret its meaning.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
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An agent for a property management company would like to be able to predict the monthly rental cost for apartments based on the size of the apartment as defined by square footage. A sample of the rent of 25 apartments in a college rental neighborhood was selected, and the information collected revealed the following:

 

Apartment

Size (Sq. Ft.)

Monthly Rent ($)

1

850

950

2

1,450

1,600

3

1,085

1,200

4

1,232

1,500

5

718

950

6

1,485

1,700

7

1,136

1,650

8

726

935

9

700

875

10

956

1,150

11

1,100

1,400

12

1,285

1,650

13

1,985

2,300

14

1,369

1,800

15

1,175

1,400

16

1,225

1,450

17

1,245

1,100

18

1,259

1,700

19

1,150

1,200

20

896

1,150

21

1,361

1,600

22

1,040

1,650

23

755

1,200

24

1,000

800

25

1,200

1,750

i)  Determine a 95% interval estimate for the average rent of apartments with 1000 square feet.  Determine ŷ1000 and interpret the interval estimate for the average rent completely…this has been done by Minitab, follow the notes.

j) Predict the rent of an apartment with 1650 square feet. What is the S.D. of this estimate?  ie: determine ŷ1650 and SE(ŷ1650)…SE is the same here as it was in part b.

k) Determine the correlation coefficient ‘r’ and interpret its meaning.

Regr ssion Analysis: Rent versus Size
The regression equation is
Rent = 177 + 1.07 Size
Predictor
Coef SE Coef
Constant
Size
161.0 1.10 0.283
1.0651 0.1376 7.74 0.000
177.1
S = 194.595 R-Sq = 72.3% R-Sq (adj) = 71.1%
Analysis of Variance
Source
DF
SS
Regression
Residual Error 23 870949
Total
MS
1 2268777 2268777 59.91 0.000
37867
24 3139726
Predicted Values for New Observations
New
Obs
Fit
SE Fit
95% CI
(1153.0, 1331.5)
95% PI
1
1242.3
43.1
(829.9, 1654.6)
a)
State the regression model and completely interpret th
Transcribed Image Text:Regr ssion Analysis: Rent versus Size The regression equation is Rent = 177 + 1.07 Size Predictor Coef SE Coef Constant Size 161.0 1.10 0.283 1.0651 0.1376 7.74 0.000 177.1 S = 194.595 R-Sq = 72.3% R-Sq (adj) = 71.1% Analysis of Variance Source DF SS Regression Residual Error 23 870949 Total MS 1 2268777 2268777 59.91 0.000 37867 24 3139726 Predicted Values for New Observations New Obs Fit SE Fit 95% CI (1153.0, 1331.5) 95% PI 1 1242.3 43.1 (829.9, 1654.6) a) State the regression model and completely interpret th
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