The Secretary of the U.S. Treasury commissioned you to estimate the effect of income on tax revenue by state. You estimate the following tax function using cross-sectional data for the 50 U.S. states and the District of Columbia:
Tax^=−0.221+0.142×Income(0.087)(<0.0001)
with n=51, R2=0.997, and s=0.687 where Tax is total taxes paid and Income is total income, both measured in billions of dollars, and the number in parentheses are the corresponding p-values. Interpret the results for the Treasury Secretary. State the null and alternative hypotheses that the p-values, given above, test. Are the coefficients significant at the 5% level? Justify your answers.
Ho: β1= 0
H1: β1╪ 0
p value<0.0001
decison : p-value<α , reject Ho
Conclusion: Reject Ho and conclude that slope is
significantly different from zero
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Ho: βo= 0
H1: βo╪ 0
p value=0.087
decison : p-value>α , do not reject Ho
Conclusion: fail to Reject Ho and conclude that
intercept is not significantly different from zero
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for every billion dollar increase in total income,total taxes paid get increase by 0.142 billion dollars
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