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 F

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 0.3066 7.076 0.0171 VARIABLE PARAMETER ESTIMATE STANDARD ERROR T-RATIO P-VALUE INTERCEPT 15.48 5.09 3.04 0.0008 X -21.36 8.03 -2.66 0.0171 Given the information in the table, which of the following statements is correct at the 1% level of significance? Multiple Choice Both and b are statistically significant. Neither a nor b is statistically significant. is statistically significant, but b is not. b is statistically significant, but a is not

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