Given the following regression output,

Answer the following questions:
a. Write the regression equation.
b. If x1 is 4 and x2 is 11, what is the expected or predicted value of the dependent variable?
c. How large is the sample? How many independent variables are there?
d. Conduct a global test of hypothesis to see if any of the set of regression coefficients could be different from 0. Use the .05 significance level. What is your conclusion?
e. Conduct a test of hypothesis for each independent variable. Use the .05 significance level. Which variable would you consider eliminating?
f. Outline a strategy for deleting independent variables in thiscase.

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Predictor Coefficient SE Coefficiett 1.863 p-value 84.998 2.391 0.409 45.62 0.000 0.051 0.021 0.172 -2.38 Analysis of Variance Regression Residual Error Total 77.907 38.954 583.693 9.414 661.600 4.138 0.021