ased on the square footage (in 100 square feet). Predict the price of a 3000 square foot house (in thousands of d Dependent variable: Y Analysis of Variance Source Model Error C total Root MSE Dep Mean C.V. DF 1 13 14 12.9965 88.8400 14.6291 Parameter Estimates Variable Intercept X DF 1 1 Sum of Squares 4034.4144 2195.8215 6230.2360 R-square Adj R-square Parameter Estimate 18.3538 3.8785 Mean Square 4034.4144 168.9093 0.6476 0.6204 Standard Error 14.8077 0.7936 F Value 23.885 T for HO: Parameter = 0 1.239 4.887 Prob>F 0.0003 Prob > T 0.2371 0.0003
ased on the square footage (in 100 square feet). Predict the price of a 3000 square foot house (in thousands of d Dependent variable: Y Analysis of Variance Source Model Error C total Root MSE Dep Mean C.V. DF 1 13 14 12.9965 88.8400 14.6291 Parameter Estimates Variable Intercept X DF 1 1 Sum of Squares 4034.4144 2195.8215 6230.2360 R-square Adj R-square Parameter Estimate 18.3538 3.8785 Mean Square 4034.4144 168.9093 0.6476 0.6204 Standard Error 14.8077 0.7936 F Value 23.885 T for HO: Parameter = 0 1.239 4.887 Prob>F 0.0003 Prob > T 0.2371 0.0003
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
Problem 2AGP
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![A real estate agent would like to predict the selling price of a single-family house by predicting the price (in thousands of dollars)
based on the square footage (in 100 square feet). Predict the price of a 3000 square foot house (in thousands of dollars).
Dependent variable: Y
Analysis of Variance
Source
Model
Error
C total
Root MSE
Dep Mean
C.V.
F113 14
DF
12.9965
88.8400
14.6291
Parameter Estimates
Variable
Intercept
X
DF
1
Sum of
Squares
4034.4144
2195.8215
6230.2360
R-square
Adj R-square
Parameter
Estimate
18.3538
3.8785
Mean
Square
4034.4144
168.9093
0.6476
0.6204
Standard
Error
14.8077
0.7936
F Value
23.885
T for H0:
Parameter = 0
1.239
4.887
Prob>F
0.0003
Prob > T
0.2371
0.0003](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fea6543f6-8cee-4049-bcb4-34df4191342c%2Fb6e18279-cd4d-49dd-bcad-884b49ada29b%2Fw0sp55g_processed.png&w=3840&q=75)
Transcribed Image Text:A real estate agent would like to predict the selling price of a single-family house by predicting the price (in thousands of dollars)
based on the square footage (in 100 square feet). Predict the price of a 3000 square foot house (in thousands of dollars).
Dependent variable: Y
Analysis of Variance
Source
Model
Error
C total
Root MSE
Dep Mean
C.V.
F113 14
DF
12.9965
88.8400
14.6291
Parameter Estimates
Variable
Intercept
X
DF
1
Sum of
Squares
4034.4144
2195.8215
6230.2360
R-square
Adj R-square
Parameter
Estimate
18.3538
3.8785
Mean
Square
4034.4144
168.9093
0.6476
0.6204
Standard
Error
14.8077
0.7936
F Value
23.885
T for H0:
Parameter = 0
1.239
4.887
Prob>F
0.0003
Prob > T
0.2371
0.0003
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