11.1.2 Multiple Regression

11.1.2 Multiple Regression - l"I'— — fl L1H in...

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Unformatted text preview: l "I'— —- fl L1H ! in 3mm 11.1 Multiple Regression V: BO+BIXI+BZXZ+BSXS+---+kak+5 y = dependent variable x1, x2, x3, , xk = independent variables B. determines the contribution of the indpt variable x. 6 steps to analyzing a multiple regression model are on p. 626. Samefourassumptionsfore: Mfmh 01 dulllhbnon l3 0 VGHGHW l5 (Willa t, dmnbmmn is normal, 6 values one ind’erehdmni. h 11.2 A first-order model has quantitative indpt (predictor) vars that are not functions of the other ind pt vars. Once you fit a multiple regression model, consider the same measures as before: SSE, 5., , s: (MSE) Interpret y intercept and coefficients similar to before. Hypothesis tests for coefficients (Bis) same as before. Required conditions for [3.5 : same as the four assumptions for 8. Ex: Use file chlocks. Delete column D. A collector of antique grandfather clocks sold at auction believes that the price received for the clocks depends on both the age of the clocks and the number of bidders at the auction (both in a linear fashion). A. Find the regression e u tion for predicting the auction price. clam «mm mh‘hi’ m rggaemon l0 YaanBAr'lCBJXl‘Oll’lUR lomh vambCls, residuum, cram ar’oll mutual“. 3"‘336-151 ‘N‘HX t“) q B. Estimate the standard deviation ofthe model (st dev of e). '"WTWFY \mdei “‘3“ “633;be gimnamm Cirommlcman {Wilt 83,1535 ‘5 (niumtw C. Interpret theyinterce t. p THGSCHM Hcemrmn omn' vc (brandifm - wim 0 hlsdell an the own on Will be €9la§é7§|§mm ‘5 0330‘” ”N Doe ' set ‘ O W‘Wrfingh Sgimgihfi$€ i “UM? am “mat"? Moor than: 0 Team old. D. lnterp et thé coe icrent for age ofclo k. nm in an own in crsenamnivmi lam mm. For (MilhOiBGl e h a r m 0| ”T1 on average ém'glgpfifq ‘56 °¥1°‘°°H‘3“‘h9 rrioe increases E. Interfiet the coeVicient for number oébidders. _ no In on Other indeonamm valuables tonsromi for am more me $93 (127:1er (mm (mm toning truce more’mgs (m owgw demf owihmwn is mag. n. ‘ ...
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