Question

When trying to predict net profits (y) based on expenses (x), an analyst uses the quadratic model, E(y) = β0 + β1x + β2x2. This model was fit to data collected for a sample of 20 reports. A quadratic regression was run and a portion of the printout is shown below. Variable Coefficients Standard error T-stat P-value Intercept 198.325806 49.62385671 3.996581869 0.000934099 X –1.209914287 1.470933371 –0.822548669 0.422152931 X × X 0.01252549 0.010691795 1.171504923 0.257554192 What is the p-value for testing H0: β2 = 0 against Ha: β2 ≠ 0? 0.0009 0.0125 0.2576 0.4222

          When trying to predict net profits (y) based on expenses (x), an analyst uses the quadratic model, E(y) = β0 + β1x + β2x2. This model was fit to data collected for a sample of 20 reports. A quadratic regression was run and a portion of the printout is shown below.

Variable	Coefficients	Standard error	T-stat	P-value
Intercept	198.325806	49.62385671	3.996581869	0.000934099
X	–1.209914287	1.470933371	–0.822548669	0.422152931
X × X	0.01252549	0.010691795	1.171504923	0.257554192
What is the p-value for testing H0: β2 = 0 against Ha: β2 ≠ 0?

0.0009

0.0125

0.2576

0.4222

Added by Yvonne B.

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