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15.A 16.B 18.C 19. A 21. A 23. D PLEASE EXPLAIN WHY THESE ARE THE ANSWERS. THANK

ID: 2906683 • Letter: 1

Question

15.A

16.B

18.C

19. A

21. A

23. D

PLEASE EXPLAIN WHY THESE ARE THE ANSWERS. THANKS!

Use the multiple regression output below from R, using stargazer, to answer Questions 14 to 22. The dependent variable is the natural logarithm of home prices (Inprice) while the explanatory variables are the natural logarithm of the lot size (Inlotsize), the natural logarithm of the square feet of the house (Insqrft), and the number of bedrooms (bdrms) for a random sample of 88 houses Dependent variable: lnpricee 0.700 (0.093) InsqrIt 0.0371 (0.0275) bdrms lnlotsize 0.168 5.6107 (0.6512) Constant Observations R2 Adjusted R2 Residual Std. Error F Statistic 0.630 0.1846 (df - 83) 50.424 (df 4; 83)

Explanation / Answer

15.A

at 1% level , the alpha value is 0.01 , hence only rhose variables are signficant whose p value is less than 0.01 , here we see that none of the variable have a p value less than 0.01 , hence non of the variables are signficant


18.C


the p value is 0.0275 , which is less than 0.05 , hence we reject the null hypothesis


21
the coefficient is 0.70 , this means that for every unit change in the value of lnsqft the price of the house would change by 1%

23

the F stat compares the coefficients for all variables
we check the f value as 50.424

now we check the p value from the F table for
df = 4 and df = 83

The p-value is .000784. The result is significant at p < .01

hence we reject the null hypothesis

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