Highlights
Question 1: Use the data of 1999 and 2000 only to estimate the next linear model and answer the associated questions below.
SP = β 1 + β 2 Age + u, (1)
where u is an error term. Note that the sub-index i of each variable has been suppressed in the above equation. SP = Selling Price , which is a function of Age (in years).
1. (a). Generate the descriptive statistics for SP and Age (i.e., 2 VARIABLES IN TOTAL), and report them in a table.
(b). Plot SP (y-axis) against Age (x-axis). Do you observe any pattern?
2. Estimate the model (1) for the houses sold in Stockton
3. At the 5% significance level, test if Age has NEGATIVE impacts on Keep two decimals for the calculation involved.
Question 2: Use the data of 2001 only to estimate the next linear model and answer the associated questions below.
log(SP) = β 1 + β 2 Baths + u, (2)
where u is an error term. Note that the sub-index i of each variable has been suppressed in the above equation.
1. (a). Generate the descriptive statistics for log(SP) and Baths (i.e., 2 VARIABLES IN TOTAL), and report them in a table.
(b). Plot log(SP) (y-axis) against Baths (x-axis). Do you observe any pattern?
2. Estimate the model (2) for the houses sold in Stockton
3. At the 5% significance level, test if Baths has POSITIVE impacts on log(SP). Keep two decimals for the calculation
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