14 Jun A regression analysis resulted in the following information regar
A regression analysis resulted in the following information regarding a dependent variable (y) and an independent variable (x).n = 10Σx = 55Σy = 55Σx2 = 385Σy2 = 385Σxy = 220Refer to Exhibit 14-1. The point estimate of y when x = 20 isExhibit 14-3Regression analysis was applied between sales data (in $1000s) and advertising data (in $100s), and the following information was obtained.ŷ = 12 + 1.8xn = 17SSR = 225SSE = 75Sb1 = 0.2683Refer to Exhibit 14-3. The F statistic computed from the above data isExhibit 15-8The following estimated regression model was developed relating yearly income (y in $1000s) of 30 individuals with their age (x1) and their gender (x2) (0 if male and 1 if female).ŷ = 30 + 0.7×1 + 3x2Also provided are SST = 1200 and SSE = 384.The model _____.The numerical value of the coefficient of determination _____.a. can be larger or smaller than the coefficient of correlationb. is always larger than the coefficient of correlationc. is negative if the coefficient of determination is negatived. is always smaller than the coefficient of correlationExhibit 14-6You are given the following information about x and y.xIndependent VariableyDependent Variable4126 32 74 6Refer to Exhibit 14-6. The least squares estimate of b1 equals _____.a. 1b. 11c. –11d. –1
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