Academic Integrity: tutoring, explanations, and feedback — we don’t complete graded work or submit on a student’s behalf.

Interpret the elasticity estimates for sqft, bedrooms, baths, and age. Which var

ID: 3265821 • Letter: I

Question

Interpret the elasticity estimates for sqft, bedrooms, baths, and age. Which variable has the biggest effect on price? Which variable has he smallest effect?

. regress y x sqft Bedrooms Baths Age

Source | SS df MS Number of obs = 1,080

-------------+---------------------------------- F(5, 1074) = 557.28

   Model | 214.279863 5 42.8559726 Prob > F = 0.0000

Residual | 82.5925034 1,074 .076901772 R-squared = 0.7218

-------------+---------------------------------- Adj R-squared = 0.7205

   Total | 296.872366 1,079 .275136577 Root MSE = .27731

------------------------------------------------------------------------------

   y | Coef. Std. Err. t P>|t| [95% Conf. Interval]

-------------+----------------------------------------------------------------

x | .2108912 .0722769 2.92 0.004 .0690713 .3527111

sqft | .000257 .0000288 8.92 0.000 .0002004 .0003135

Bedrooms | -.0704395 .0170633 -4.13 0.000 -.1039207 -.0369582

   Baths | .2116815 .0208575 10.15 0.000 .1707555 .2526076

Age | -.0064288 .0005207 -12.35 0.000 -.0074506 -.005407

   _cons | 9.512404 .484303 19.64 0.000 8.562116 10.46269

———————————————————————————————————————

. mfx, eyex

Elasticities after regress

y = Fitted values (predict)

   = 11.795182

------------------------------------------------------------------------------

variable | ey/ex Std. Err. z P>|z| [ 95% C.I. ] X

---------+--------------------------------------------------------------------

x | .1371088 .04699 2.92 0.004 .04501 .229208 7.66852

sqft | .0506719 .00568 8.92 0.000 .03954 .061804 2325.94

Bedrooms | -.0189884 .0046 -4.13 0.000 -.028004 -.009973 3.17963

   Baths | .035411 .00349 10.15 0.000 .028572 .04225 1.97315

   Age | -.0106686 .00086 -12.34 0.000 -.012362 -.008975 19.5741

------------------------------------------------------------------------------

Explanation / Answer

Here we have elasticity estimates: sqft = 0.0506719, Bedrooms = -0.0189884. Baths = 0.035411, Age =-0.0106686

Here highest elasticity is for sqft = 0.0506719, and smallest elasticity is for Age = -0.0106686

Hence variable sqft has the biggest effect on price and variable Age has the smallest effect.

Hire Me For All Your Tutoring Needs
Integrity-first tutoring: clear explanations, guidance, and feedback.
Drop an Email at
drjack9650@gmail.com
Chat Now And Get Quote