A multiple regression model, R = a + bW + cX + dZ, is estimated by a

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A multiple regression model, R = a + bW + cX + dZ, is estimated by a computer package, which produces the following output:

imagea. How many degrees of freedom does this regression analysis have?b. What is the critical value of t at the 2 percent level of significance?

c. Test to see if the estimates of a, b, c, and d are statistically significant at the 2 percent significance level. What are the exact levels of significance for each of the parameter estimates?d. How much of the total variation in R is explained by this regression equation? How much of the total variation in R is unexplained by this regression equation?e. What is the critical value of the F-statistic at the 1 percent level of significance? Is the overall regression equation statistically significant at the 1 percent level of significance? What is the exact level of significance for the F-statistic?f. If W equals 10, X equals 5, and Z equals 30, what value do you predict R will take? If W, X, and Z are all equal to 0?

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