Author: Anonymous

TABLE 13-2A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product. To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices. Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:   SUMMARY OUTPUT Regression Statistics Multiple R 0.885404 R Square 0.783941 Adjusted R Square 0.729926 Standard Error 16.29861 Observations 6 ANOVA   df SS MS F Significance F Regression 1 3855.422 3855.422 14.51346 0.018946 Residual 4 1062.578 265.6446 Total 5 4918         Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 161.3855 26.16069 6.16901 0.003506 88.75183 234.0193 88.75183 234.0193 price -48.1928 12.65017 -3.80965 0.018946 -83.3153 -13.0703 -83.3153 -13.0703 Referring to the above Table, what is the standard error of the regression slope estimate, Sb1?

THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION:The manager of a used-car dealership is very interested in the resale price of used cars. The manager feels that the age of the car is important in determining the resale value. He collects data on the age and resale value of 15 cars and runs a regression analysis with the value of the car (in thousands of dollars) as the dependent variable and the age of the car (in years) as the independent variable. Unfortunately, he spilled his coffee on the printout and lost some of the results, identified by “A” through “F”. The partial results left are displayed below.What is the value of *B*?

If you were to obtain a p-value equal to 0.1291 when conducting a hypothesis test, for a level of significance of 5% you would

Solve this system of equations. Write your answer as an ordered pair. x + 2y = 7 3x – 2y = 12

TABLE 13-6The following EXCEL tables are obtained when “Score received on an exam (measured in percentage points)” (Y) is regressed on “percentage attendance” (X) for 22 students in a Statistics for Business and Economics course.        Referring to Table 13-6, which of the following statements is true?

The Y-intercept (b0) represents the

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TABLE 13-11A company that has the distribution rights to home video sales of previously released movies would like to use the box office gross (in millions of dollars) to estimate the number of units (in thousands of units) that it can expect to sell. Following is the output from a simple linear regression along with the residual plot and normal probability plot obtained from a data set of 30 different movie titles:   ANOVA  Referring to Table 13-11, the normality of error assumption appears to have been violated.

Which one of the following equations is False?    Note: ·{“version”:”1.1″,”math”:”·”} means multiplication.

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