EstatePass
appraisal-statistical-methodshard

Twelve sales are used to fit a model with eight independent variables. What is the principal concern?

Correct Answer

B) There is too little data for that many variables

Why this is correct: The principal concern is there is too little data for that many variables. With twelve sales and eight independent variables, there are very few degrees of freedom (12 - 8 - 1 = 3 for the intercept). This leads to an unstable model prone to overfitting, as the original explanation describes. Why the other choices are wrong: The dependent variable is not necessarily misidentified. R-squared can still be calculated. The coefficients will not all come out as zero; they may be large and nonsensical. Exam tip: A good rule of thumb is to have at least 10-15 observations per independent variable for reliable regression results.

Answer Options
A
The dependent variable will be misidentified
B
There is too little data for that many variables
C
R-squared cannot be calculated in this situation
D
The coefficients will all come out as zero

Why This Is the Correct Answer

Why this is correct: The principal concern is there is too little data for that many variables. With twelve sales and eight independent variables, there are very few degrees of freedom (12 - 8 - 1 = 3 for the intercept). This leads to an unstable model prone to overfitting, as the original explanation describes. Why the other choices are wrong: The dependent variable is not necessarily misidentified. R-squared can still be calculated. The coefficients will not all come out as zero; they may be large and nonsensical. Exam tip: A good rule of thumb is to have at least 10-15 observations per independent variable for reliable regression results.

Was this explanation helpful?

More appraisal-statistical-methods Questions

A price index rises from 100 to 121 over two years. What compound annual rate does this represent?

A sample of four sales drawn from a market with 200 annual transactions is:

A set of comparable sales has a mean of $250,000 and a standard deviation of $20,000. What is the coefficient of variation?

A property sold for $400,000 and resold three years later for $463,050 with no physical change. What compound annual rate does this indicate?

An appraiser includes both 'total room count' and 'bedroom count' as independent variables in a regression model estimating single-family home sale prices. The variance inflation factor (VIF) for 'bedroom count' is calculated as 12.3. What is the most appropriate appraisal action based on this result?

An appraiser runs a regression of sale price on GLA, age, and a binary variable for 'renovated' (1 = yes, 0 = no). The estimated coefficient for 'renovated' is $18,400 with a standard error of $6,200 and a t-statistic of 2.97. Assuming a two-tailed test at Ξ± = 0.05 and 42 degrees of freedom, what conclusion is supported regarding the market's recognition of renovations?

To validate the functional form of a regression model used for adjustments, an appraiser plots residuals against predicted values and observes a clear inverted-U pattern. What does this pattern indicate, and what is the most defensible corrective action?

A histogram of neighborhood sale prices shows two distinct peaks. What does this most likely mean?

What does it mean to validate a regression model?

An appraiser includes months elapsed since each sale as a variable in a price model. What is this intended to capture?

People Also Study

Practice More Appraiser Questions

Access all practice questions with progress tracking and adaptive difficulty to pass your Appraiser exam.

Start Practicing