Top Posters
Since Sunday
7
6
o
5
b
4
s
3
j
3
b
3
m
3
K
3
g
3
L
3
w
3
New Topic  
18iq 18iq
wrote...
Posts: 153
Rep: 0 0
A month ago
Use the following to answer the questions below:

A quantitatively savvy, young couple is interested in purchasing a home in northern New York. They collected data on houses that had recently sold in the two towns they are considering. The variables they collected are the selling price of the home (in thousands of dollars), the size of the home (in square feet), the age of the home (in years), and the town in which the house is located (coded 1 = Canton and 0 = Potsdam). Output from their multiple regression analysis is provided.

The regression equation is
Price (in thousands) = 69.2 + 0.0627 Size (sq. ft.) - 0.632 Age + 1.6 Town

PredictorCoefSE CoefTP
Constant69.2325.102.760.008
Size (sq. ft.)0.062670.010246.120.000
Age-0.63190.1328-4.760.000
Town1.6512.150.140.893
S = 40.0763        R-Sq = 59.3%        R-Sq(adj) = 56.5%

Analysis of Variance

SourceDFSSMSFP
Regression31029363431221.360.000
Residual Error44706691606
Total47173605

Which predictors are significant at the 5% level?

▸ Size, Age, and Town

▸ Size and Age

▸ Age

▸ Size
Textbook 
Statistics: Unlocking the Power of Data

Statistics: Unlocking the Power of Data


Edition: 3rd
Authors:
Read 13 times
1 Reply
Replies
Answer verified by a subject expert
kogilviekogilvie
wrote...
Posts: 139
Rep: 0 0
A month ago
Sign in or Sign up in seconds to unlock everything for free
More solutions for this book are available here
1

Related Topics

18iq Author
wrote...

A month ago
Brilliant
wrote...

Yesterday
This helped my grade so much Perfect
wrote...

2 hours ago
I appreciate what you did here, answered it right Smiling Face with Open Mouth
New Topic      
Explore
Post your homework questions and get free online help from our incredible volunteers
  994 People Browsing
Related Images
  
 1680
  
 539
  
 107
Your Opinion
Who's your favorite biologist?
Votes: 587