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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 a indicates a. when X is zero, Y is 5.09 b. when X is zero, Y is 15.48. c. AY/ Aa d. AY/AX je. both a and c