A real estate analyst believes that the three main factors that influence an apartment's


A real estate analyst believes that the three main factors that influence an apartment's

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76. Exhibit 15-8. A real estate analyst believes that the three main factors that influence an apartment's rent in a college town are the number of bedrooms, the number of bathrooms, and the apartment's square footage. For 40 apartments, she collects data on the rent (y, in $), the number of bedrooms (x1), the number of bathrooms (x2), and its square footage (x3). She estimates the following model: -".- = #0 + flr‘i: + flz-‘E‘ + flirts + 5:, . The following table shows a portion of the regression results. .\\( )\ .\ .\‘.vg»m.=.~..m. " .1! SS .‘n 15‘ I- 1' Regression 3 569-1717 1898239 50 88 4 ‘J‘JI‘I-IS Residual .10 l .14? I 76 R73 I U 'luml 5‘) 7037893 NmmiJru' Y' 11";701‘ ['.'n.'.‘,f.u.‘.u.‘lil.\ 1".‘rv'm' 1 Surf [Haulin- 1.mu‘r '15'247) ‘lfi'lc- lnlcrccpl Fl)“ 84 (l 3 57 0 0011,) I50 ()3 470.70 Bed 3% M) .1 ,1 1'5 H (mm, In} .15 UK I? llalh 8‘) 55,9 1 5‘) l) 1195 34.34 20177 Sq" 0 I 0.0" _’ I: H (1370 0014 0.5" Refer to Exhibit 15-7. When testing whether the explanatory variables jointly influence the response variable, the null hypothesis is A' Hoiflo=fl|=flz=fl1=0 B' [III:/}l=fll=/;J=O Hui/ifil’H/IH/ZFO H. c. D. :/2,+/1,+/2_,=o

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