# formulas - (OR(SS Regression/df Regression(SS Residual/df...

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P with triangle = number of people or things 1) Normal population U=np S.D. = Sqrt (np(1-p) Sample population Mean = X(mean)/N(sample size) S.D. = ----------------------------- z-score formula = z=^ (p – mean)/s.d. ------------------------- ^ P = (probability you’re looking for/N .2546 rapide Week 4 confidence intervals Use T-value to find mean n= (s*t/E)squared s= standard deviation t= t-value E= target area *regression* (r)squared = SS Regression / SS Total SS Total = SS Regression + SS Residual SS Regression = SS Total – SS Residual Standard error or (s) = sqrt (SS Residual/n-2) High value of F and low value of P means we can reject the null hypothesis F = MS Regression/MS Residual

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Unformatted text preview: *** (OR) (SS Regression/df Regression)/(SS Residual/df Residual) Simple Linear regression*** y (hat) = bo + b1(x) bo = intercept coefficients b1 =coefficients total (r)squared = explained variation/total variation Explained variation = SS Regression Total = SS Total Unexplained = SS Residual Total Variation = Explained Variation + Unexplained Variation (R) squared is the simple coefficient of determination Example: 48.5% of the variability in food expenditures can be explained by the beverage expenditures Hypotheses *** Null = Ho = B1 = 0 Alternative = Ha = B1 not equal to 0 Multiple regression Y(hat) = Bo +( B1X1) + B2X2...
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## This note was uploaded on 03/18/2012 for the course ACCT 515 taught by Professor ? during the Spring '10 term at Keller Graduate School of Management.

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formulas - (OR(SS Regression/df Regression(SS Residual/df...

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