Answer Happy

A. Does this regression model significantly improve our
ability to predict y relative to just guessing the mean? Justify
your answer by drawing on the appropriate statistic(s) in the
table
B. Interpret the value of R2 from the table.
C. Pick one partial slope and state the null and research
hypothesis.
D What group does the intercept refer to?
E. Pick one interval ratio variable and interpret the partial
slope.
F. Pick one dummy variable and interpret the partial
slope.
A regression analysis was conducted to examine the factors in uencing income (measured in thousands of dollars). The model contains a variable for age (in years), years of education, a categorical variable for sex (women=1; men are the reference category), and a categorical variable for race (dummy variables are used for White and Black; All Other Races are the reference category). The results from the regression analysis are below: Estimate Standard Error T-Value P-Value < 0.0005 2.80 0.40 7.00 Intercept Age (Years) 0.03 0.01 3.00 0.003 Education (Years) 1.97 0.82 2.40 0.008 Female -1.21 0.54 -2.24 0.013 White 2.13 1.07 1.99 0.047 Black -0.98 0.52 1.88 0.060 Value df P-Value 83.347 (995, 5) < 0.0005 F(obtained) R² 0.419 Use the information from the table to answer the questions below. Please keep your answers brief (you do not need to write a lot to answer these questions).