Exam 14: Introduction to Multiple

SCENARIO 14-5 A microeconomist wants to determine how corporate sales are influenced by capital and wage spending by companies.She proceeds to randomly select 26 large corporations and record information in millions of dollars.The Microsoft Excel output below shows results of this multiple regression. Introduction to Multiple Regression 14-17 -Referring to Scenario 14-5, what is the p-value for Capital?

SCENARIO 14-15 -True or False: Referring to Scenario 14-15, there is sufficient evidence that at least one of the explanatory variables is related to the percentage of students passing the proficiency test at a 5% level of significance.

SCENARIO 14-4 14-10 Introduction to Multiple Regression -Referring to Scenario 14-4, when the builder used a simple linear regression model with house Size (House)as the dependent variable and family size (Size)as the independent variable, he Obtained an r2 value of 1.25%.What additional percentage of the total variation in house size has Been explained by including income in the multiple regression?

SCENARIO 14-3 -Referring to Scenario 14-3, to test whether aggregate price index has a negative impact on Consumption, the p-value is _______?

SCENARIO 14-13 An econometrician is interested in evaluating the relationship of demand for building materials to mortgage rates in Los Angeles and San Francisco.He believes that the appropriate model is Y = 10 + 5X1 + 8X2 where X1 = mortgage rate in % X2 = 1 if SF, 0 if LA Y = demand in $100 per capita -Referring to Scenario 14-13, the fitted model for predicting demand in San Francisco is ________.

SCENARIO 14-16 14-64 Introduction to Multiple Regression Introduction to Multiple Regression 14-65 -True or False: Referring to Scenario 14-16, the 0 to 60 miles per hour acceleration time of a sedan is predicted to be 0.0005 seconds higher than that of a non-sedan with the same engine size.

SCENARIO 14-2 -Referring to Scenario 14-2, suppose an employee had never taken an economics course and Managed to score a 5 on his performance rating.What is his estimated expected wage rate?

SCENARIO 14-3 -Referring to Scenario 14-3, the p-value for GDP is

True or False: A regression had the following results: SST = 82.55, SSE = 29.85.It can be said that 63.84% of the variation in the dependent variable is explained by the independent variables in the regression.

SCENARIO 14-4 14-10 Introduction to Multiple Regression -Referring to Scenario 14-4, which of the following values for the level of significance is the Smallest for which at most one explanatory variable is significant individually?

SCENARIO 14-1 -Referring to Scenario 14-1, for these data, what is the value for the regression constant, b0?

SCENARIO 14-15 -Referring to Scenario 14-15, the null hypothesis H01:0β ==β2 implies that percentage of students passing the proficiency test is not affected by either of the explanatory variables.

SCENARIO 14-15 -Referring to Scenario 14-15, what are the lower and upper limits of the 95% confidence interval estimate for the effect of a one thousand dollars increase in instructional spending per pupil on the mean percentage of students passing the proficiency test?