# a - Regression Statistics Multiple R 0.793770534 R Square...

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Xuejiao Sun Fin 3801 MWF 10:00 Based on a visual inspection of the graphs of the scatter diagram, the residual plot, and the normal probability plot, the model appears to satisfy the assumptions. H 0 : β 1 = 0 (no linear relationship), H 1 : β 1 ≠ 0 (linear relationship) C.V.A.: Reject H 0 : if t > U.C.V. or < L.C.V. U.C.V. = t .025,35 = 2.034515, L.C.V. = -U.C.V. = -2.034515 t = 7.4971 Reject H 0: . P.V.A. Reject H 0 : if α = 0.05 > p-value. P-value = 1.27826E-08 . Reject H 0 :. The evidence refutes the claim that there is no linear relationship between trade executions and the numbers of incoming calls.
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Unformatted text preview: Regression Statistics Multiple R 0.793770534 R Square 0.63007166 Adjusted R Square 0.618861711 Standard Error 29.41903907 Observations 35 ANOVA df SS MS F Significance F Regression 1 48645.56463 48645.56463 56.20646637 1.27826E-08 Residual 33 28560.83537 865.4798597 Total 34 77206.4 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lowe Intercept-63.0205 54.5974-1.1543 0.25668-174.0996 48.0587-1 Calls 0.1890 0.0252 7.4971 1.2783E-08 0.1377 0.2403...
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## This note was uploaded on 01/19/2011 for the course ACCT 3120 taught by Professor Fesslor during the Spring '10 term at UCM.

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