Exercise 1 Yosatigating the claship between the pics of homes ingles metropolite and the level of nitrogeneidesi politie Youlant sale de for cemate (mall peopphale) in a large metropolitaneshe following able PRICE, the media selling price of homes the contest of dollar NOX - level of open exile in the of the pro 100 million PTAX -property type 51.000 of vippery valise med in dollars per 1.000 DIST - weighted distance of the the place metropolitaine ROOMS, we hof bestellect Using the given sample dute. you try search vitt evtinates three different spations and spon the soluting a (ticatialaaka preses below the previos coefficient estimates PRICE - PANOXBPTAK S, DIST,+RROOMS -90176--16978 B-1300 (40-360) (021545 RSS-1.311.5908 TS-4222.533.21 905 PRICE - .. Nox, PTAX, IDISTONS, -0.61070,- 63605-610463 35 (0.136 (0041126 1000310 RSS-36.4408 TS-5458221 06 1. PRICE, -Y. NOXPTAX - Y DESTROOMS, 9 - 4.3748 -0.080099 -0.0077925 -0.000 1.02666 (0.018634 (0.0009653) (0.008945 RSS-3633319 TS-4301 RSS is the Residul Sof-Squarel TSS is the Total Soffocale repression equation () where-1.23, X, denotes the allegate de ani X Sanapleine N 506. Estimated standard errore in urentheses tee the coefficient estimates 1) Interpeet the slope coefficient estimate B, in stuuple regression equutine (1) the sloge coefficient estimate a in sample regression equation (2) and the slope coeficientes in satupile regression equation (3). That is explain in words that the calles of the slope coefficient estimates Band , mean 2) Use the estimation results given above for regression equations )and (3) to test the Individual spificance of the slope coefficient estimated for le NOX, is the individual significance of the slope coefficient estimates for NOX, in ea (3) For each test, state the wall odermative bypotheses. Show how you calitate the required test statistie, and state at null distribution. Which of these two slapecoeficient estimates are individually significant at the percent significance level? Which of these two slope coefficient estimates e individually significat the percentime level 3) Use the estimation results for repression equation (3) test the outcome of the slope coefficient estates and at the percentileselfie significance level o 0.01).i. test the proposition that all opening aquatica (3) are jully equal to zero. Sute the mill ad alternative hypotheses amb you calculate the required test sisted state it and districte the decision male you in the force you were the test Exercise You are investigating the clip between the selling price of houses in a single large metropolitana and the level of nitrogen de aur pollution. You have sample data for 506 centract (all prographical in alege metropolitanes on the following variables PRICE, - demoiselling price of houses in the centrated in the of dollars NOX - level of stroge otide concentration is the of the then tracted PTAX - property po 1,000 of weed property value in the these min dollars 81.000. DEST -weighted distance of the these tract from fre employment centers in the metropoliter les ROOMS - remember of houses located in the centre med in Using the gives sample date, your trusty terecht is the different regression rutin and reports the following estimation with estimated standard erroma parentheses below the segression coefficient estiune PRICE-B2+ ANOX, B,PTAX, P,DIST, DROOMS + (1) B.-90.176 16978 B-13050 -72207 P.-78013 40360) (4.1659 0021545) (2.0000) ( 400) RSS-1811.69.00 TS-428240321 I PRICE - NOX, ., PTAX + DESTROOMS, &, - 5.8647 4--061070 ,--031605--012463 -0.28647 10.12615) (0041125) (0043510) (0.018107 RSS - 36400 TS-41221 06 In PRICE - Y+NOX + YPTAX, DEST, ROOMS (3) 7 - 4.3948 -0.080099 - -0.0077925 1 - -0.020440 ,-0.28665 (0.18045) 10.018624) 0.0009633) (0.0059075) (0.01806) RSS - 3633319 T55-54.55221 N-506 RSS the Resdal Sun-of-Squares and TSS. the Total Sum-of-Square fe sample regi() 1.2.3 X, denotes de llogarithm of the variable X Sample size 906. Estimated standard errora are pises in parentheses below the coefficient estimates 1) Interpret the slope coefficient estimate B, in sample regression equation (1), the slope coefficient estimate a in sample regression equation (2), and the slope coefficient estimate 7, in samople regression equatice (3). That is explain in words what the numerical values of the slope coefficient estimates Bu, o, and mean 2) Use the estimation results given above for regression equations (2) and (3) to test the individual significance of the slope coefficient estimated for In NOX, is equation (2) and the individual significance of the slope coefficient estimates for NOX, in equation (3) For each test state the wall mod alternative hypotheses. Show how you calculate the required test statistic and state its mail distribution. Which of these two slope coefficient estimates are individually significant at the percent sificance level? Which of these two slope coefficient estimates are individually significant at the I percent significance level? 3) se de estimates for regression (3) o festejodar sipificance of the slope coefficient estinate and the percer tipificance levelse for significance level a 2011.. test the proposition that all slope coefficients in repression equation (3) erity equal to me. Suate the mandateve hypotheses, show how you calestate the required testi od is well distribution State the decisionile you need the series you would dear from the rest Exercise 1 Yosatigating the claship between the pics of homes ingles metropolite and the level of nitrogeneidesi politie Youlant sale de for cemate (mall peopphale) in a large metropolitaneshe following able PRICE, the media selling price of homes the contest of dollar NOX - level of open exile in the of the pro 100 million PTAX -property type 51.000 of vippery valise med in dollars per 1.000 DIST - weighted distance of the the place metropolitaine ROOMS, we hof bestellect Using the given sample dute. you try search vitt evtinates three different spations and spon the soluting a (ticatialaaka preses below the previos coefficient estimates PRICE - PANOXBPTAK S, DIST,+RROOMS -90176--16978 B-1300 (40-360) (021545 RSS-1.311.5908 TS-4222.533.21 905 PRICE - .. Nox, PTAX, IDISTONS, -0.61070,- 63605-610463 35 (0.136 (0041126 1000310 RSS-36.4408 TS-5458221 06 1. PRICE, -Y. NOXPTAX - Y DESTROOMS, 9 - 4.3748 -0.080099 -0.0077925 -0.000 1.02666 (0.018634 (0.0009653) (0.008945 RSS-3633319 TS-4301 RSS is the Residul Sof-Squarel TSS is the Total Soffocale repression equation () where-1.23, X, denotes the allegate de ani X Sanapleine N 506. Estimated standard errore in urentheses tee the coefficient estimates 1) Interpeet the slope coefficient estimate B, in stuuple regression equutine (1) the sloge coefficient estimate a in sample regression equation (2) and the slope coeficientes in satupile regression equation (3). That is explain in words that the calles of the slope coefficient estimates Band , mean 2) Use the estimation results given above for regression equations )and (3) to test the Individual spificance of the slope coefficient estimated for le NOX, is the individual significance of the slope coefficient estimates for NOX, in ea (3) For each test, state the wall odermative bypotheses. Show how you calitate the required test statistie, and state at null distribution. Which of these two slapecoeficient estimates are individually significant at the percent significance level? Which of these two slope coefficient estimates e individually significat the percentime level 3) Use the estimation results for repression equation (3) test the outcome of the slope coefficient estates and at the percentileselfie significance level o 0.01).i. test the proposition that all opening aquatica (3) are jully equal to zero. Sute the mill ad alternative hypotheses amb you calculate the required test sisted state it and districte the decision male you in the force you were the test Exercise You are investigating the clip between the selling price of houses in a single large metropolitana and the level of nitrogen de aur pollution. You have sample data for 506 centract (all prographical in alege metropolitanes on the following variables PRICE, - demoiselling price of houses in the centrated in the of dollars NOX - level of stroge otide concentration is the of the then tracted PTAX - property po 1,000 of weed property value in the these min dollars 81.000. DEST -weighted distance of the these tract from fre employment centers in the metropoliter les ROOMS - remember of houses located in the centre med in Using the gives sample date, your trusty terecht is the different regression rutin and reports the following estimation with estimated standard erroma parentheses below the segression coefficient estiune PRICE-B2+ ANOX, B,PTAX, P,DIST, DROOMS + (1) B.-90.176 16978 B-13050 -72207 P.-78013 40360) (4.1659 0021545) (2.0000) ( 400) RSS-1811.69.00 TS-428240321 I PRICE - NOX, ., PTAX + DESTROOMS, &, - 5.8647 4--061070 ,--031605--012463 -0.28647 10.12615) (0041125) (0043510) (0.018107 RSS - 36400 TS-41221 06 In PRICE - Y+NOX + YPTAX, DEST, ROOMS (3) 7 - 4.3948 -0.080099 - -0.0077925 1 - -0.020440 ,-0.28665 (0.18045) 10.018624) 0.0009633) (0.0059075) (0.01806) RSS - 3633319 T55-54.55221 N-506 RSS the Resdal Sun-of-Squares and TSS. the Total Sum-of-Square fe sample regi() 1.2.3 X, denotes de llogarithm of the variable X Sample size 906. Estimated standard errora are pises in parentheses below the coefficient estimates 1) Interpret the slope coefficient estimate B, in sample regression equation (1), the slope coefficient estimate a in sample regression equation (2), and the slope coefficient estimate 7, in samople regression equatice (3). That is explain in words what the numerical values of the slope coefficient estimates Bu, o, and mean 2) Use the estimation results given above for regression equations (2) and (3) to test the individual significance of the slope coefficient estimated for In NOX, is equation (2) and the individual significance of the slope coefficient estimates for NOX, in equation (3) For each test state the wall mod alternative hypotheses. Show how you calculate the required test statistic and state its mail distribution. Which of these two slope coefficient estimates are individually significant at the percent sificance level? Which of these two slope coefficient estimates are individually significant at the I percent significance level? 3) se de estimates for regression (3) o festejodar sipificance of the slope coefficient estinate and the percer tipificance levelse for significance level a 2011.. test the proposition that all slope coefficients in repression equation (3) erity equal to me. Suate the mandateve hypotheses, show how you calestate the required testi od is well distribution State the decisionile you need the series you would dear from the rest