15. Consider the regression output in Table 2. What is the estimated increase in home value associated with a 1 unit increase in home size (in square feet)?
Can someone help me answer these questions please? Please show your work. Also, is there a way to do these
questions in a TI-84 calculator? I attached the table bellow to reference. Thank you for your help!
9. Consult Table 1. What is the critical value for a test at the .05 level?
(a) 1.55
(b) 2.13
(c) 2.34
(d) 2.03
15. Consider the regression output in Table 2. What is the estimated increase in home value associated with a 1 unit increase in home size (in square feet)?
(a) 56.0156771
(b) 27270.2539058
(c) 72.8203802
(d) 194.252
(e) 104.0291146
18. Consider the regression output in Table 2. What is the predicted or estimated home value for a when home size (in square feet) is 1000 square feet?
(a) 81042.0777971
(b) 40990.8686881
(c) 44631.887698
(d) 22785.7736385
(e) 15503.7356187
19. Consider the regression output in Table 2. Suppose you want to test the hypothesis that home size (in square feet) is worth $100 per unit, i.e. H0: 1 = 100. What is the test statistic for this hypothesis?
(a) 13.937441
(b) 5.2020375
(c) 5.2020375
(d) 6.7626487
(e) 3.6414262
20. Consider the regression output in Table 2. Suppose you want to test the hypothesis that home size (in square feet) has no impact on home value, i.e. H0: 1 = 0. What is your conclusion for this hypothesis test? (Use ↵ = .05.)
(a) This is inconclusive unless we know whether it is a right tail or a left tail test. (b) This cannot be determined without the appropriate df.
(c) reject the null
(d) fail to reject
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