SUMMARY OUTPUTRegression StatisticsMultiple RR-Square0.971AAdjusted R-Square BStandard Error30.462Observations51ANOVAFSignificance FRegression C 747851.57373925.79402.989.89E-31df SSMSResidual 48 D927.91Total50792391.11StandardLowerUpper95%Coefficientst Stat P-ValueError95%InterceptE62.1326.79 1.60E-301539.661789.51Price of Roses-6.68F-1.411.64E-01-16.162.81Disposable Income(M)9.730.34G1.23E-319.0410.42Determine the intercept coefficient (point E) and whether that estimate isstatistically significant at the 5 percent level.1,664.46 and statistically insignificant since the P-value is less than 5 percent2.32 and statistically insignificant since the t-statistic is less than 2 in absolutevalue2.32 and statistically significant since the t-statistic is greater than 2 in absolutevalueO 1,664.46 and statistically significant since the P-value is less than 5 percent

The t statistic 26.79 is and the standard error is 62.13.

Answered: SUMMARY OUTPUT Regression Statistics…

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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RESEARCH ANALYSIS AND PUBLICATION (LOB7) BATCH 27 An agent for a residential real estate company in a large city would like to be able to predict the monthly rental cost for apartments, based on the size of the apartments as defined by square footage. A sample of 14 apartments in a particular residential neighbourhood was selected, and the information gathered revealed the following: APARTMENT MONTHLY RENT ($) SIZE (SQUARE FEET) 1 950 850 2 1600 1450 3 1200 1085 4 1500 1232 5 950 718 6 1700 1485 7 1650 1136 8 935 726 9 875 700 10 1150 956 11 1400 1100 12 1650 1285 13 2300 1985 14 1800 1369 Do Normality Test and Linearity test, what did you find from these tests ? explain
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