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 4000 square foot house (in thousands of dollars). Dependent variable: Y Analysis of Variance Source Model Error C total Root MSE Dep Mean C.V. DF Variable Intercept X ㎝ 1 13 14 12.9965 88.8400 14.6291 Parameter Estimates 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 H0: Parameter = 0 1.239 4.887 Prob>F 0.0003 Prob > T 0.2371 0.0003
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 4000 square foot house (in thousands of dollars). Dependent variable: Y Analysis of Variance Source Model Error C total Root MSE Dep Mean C.V. DF Variable Intercept X ㎝ 1 13 14 12.9965 88.8400 14.6291 Parameter Estimates 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 H0: Parameter = 0 1.239 4.887 Prob>F 0.0003 Prob > T 0.2371 0.0003
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Solve the questiion in image. Below are the answer options:
a) 173.494
b) 285.494
c) 178.494
d) 1734.938
e) 277.494
f) None of the above
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