Question

An agent for a real estate company in a large city would like to be able...

An agent for a 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​ apartment, as defined by square footage. A sample of eight apartments in a neighborhood was​ selected, and the information gathered revealed the data shown below. For these​ data, the regression coefficients are b0=  328.6794 and b1=0.8881. Complete parts​ (a) through​ (d).

Monthly Rent ($) Size (Square Feet)
925 750
1,500 1,250
850 900
1,450 1,250
1,950 2,000
950 650
1,825 1,300
1,350 1,100
  1. Determine the coefficient of​ determination, r2 ​, and interpret its meaning. (round to three decimals)

  1. Determine the standard error of the​ estimate, SYX (round to three decimals)

  1. What is the meaning of SYX?

  1. SYX measures the typical difference between an​ apartment's actual rent and the rent predicted by the regression equation.

  2. SYX measures the typical difference between an​ apartment's size and the size predicted by the regression equation.

  3. SYX measures the amount by which an​ apartment's rent is greater than the rent predicted by the regression equation.

  4. SYX measures the amount by which an​ apartment's rent is less than the rent predicted by the regression equation.

Homework Answers

Answer #1

Using Excel, go to Data, select Data Analysis, choose Regression. Put Monthly Rent in Y input range and Size in X input range.

SUMMARY OUTPUT
Regression Statistics
Multiple R 0.900
R Square 0.809
Adjusted R Square 0.777
Standard Error 196.097
Observations 8
ANOVA
df SS MS F Significance F
Regression 1 978025.454 978025.454 25.434 0.002
Residual 6 230724.546 38454.091
Total 7 1208750.000
Coefficients Standard Error t Stat P-value
Intercept 328.679 214.054 1.535 0.176
Size 0.888 0.176 5.043 0.002

Coefficient of determination (R-square) = 0.809

Standard error of the​ estimate = 196.07

SYX measures the typical difference between an​ apartment's actual rent and the rent predicted by the regression equation. (Option 1)

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