Question: ........... The linear regression equation, Y = a + bX, was estimated. The following computer printout was obtained: DEPENDENT VARIABLE Y R-SQUARE F-RATIO P-VALUE ON

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The linear regression equation, Y = a + bX, was estimated. The following computer printout was obtained: DEPENDENT VARIABLE Y R-SQUARE F-RATIO P-VALUE ON F OBSERVATIONS 18 0.6944 36 35 0 0001 PARAMETER STANDARD VARIABLE ESTIMATE ERROR T-RATIO P-VALUE INTERCEPT 15 48 5 09 3 04 0 0008 X -21.36 8 03 -2.66 0.0170 The parameter estimate of b indicates a. X increases by 8.03 units when Y increases by one unit. b. X decreases by 21.36 units when Y increases by one unit. C. Y decreases by 2.66 units when X increases by one unit. d. Y decreases by 21.36 units when X decreases by one unit. je. a 10-unit decrease in X results in a 213.6 unit increase in Y

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