1a) Use the F statistic to test the significance of the relationship at a 0.05 level of significance.1b)How many apartment buildings were in the sample?1c)Predict the selling price (in thousands of dollars) of an apartment building with gross annual rents of $30,000. You may need to use the appropriate technology to answer this question.The commercial division of a real estate firm is conducting a regression analysis of the relationship between x, annual gross rents (in thousands ofdollars), and y, selling price (in thousands of dollars) for apartment buildings. Data were collected on several properties recently sold and thefollowing computer output was obtained.Analysis of VarianceSOURCEDFAdj ssRegression141587.3Error7Total51984.1PredictorCoefSE CoefT-ValueConstant20.0003.22136.217.2101.36265.29Regression EquationY = 20.0 + 7.21 X

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Description: 1a) Use the F statistic to test the significance of the relationship at a 0.05 level of significance.1b)How many apartment buildings were in the sample?1c)Predict the selling price (in thousands of dollars) of an apartment building with gross annual

a) It is needed to test significance of the relationship.

Answered: 1a) Use the F statistic to test the…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

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1a) Use the F statistic to test the significance of the relationship at a 0.05 level of significance.

1b)How many apartment buildings were in the sample?

1c)Predict the selling price (in thousands of dollars) of an apartment building with gross annual rents of $30,000.

You may need to use the appropriate technology to answer this question.
The commercial division of a real estate firm is conducting a regression analysis of the relationship between x, annual gross rents (in thousands of
dollars), and y, selling price (in thousands of dollars) for apartment buildings. Data were collected on several properties recently sold and the
following computer output was obtained.
Analysis of Variance
SOURCE
DF
Adj ss
Regression
1
41587.3
Error
7
Total
51984.1
Predictor
Coef
SE Coef
T-Value
Constant
20.000
3.2213
6.21
7.210
1.3626
5.29
Regression Equation
Y = 20.0 + 7.21 X

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