finalexam_sp07

# finalexam_sp07 - BUS/ST 350 Spring'07 Final Exam version 1...

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BUS/ST 350 Spring '07 Final Exam page 2 version 1 1. The least squares regression line is a. the line which makes the square of the correlation in the data as large as possible b. the line which makes the sum of the squares of the vertical distances of the data points from the line as small as possible (we called these vertical distances residuals). c. the line which best splits the data in half, with half the points above the line and half below the line. d. a and b only e. a and c only In the data shown below, the dependent variable is the rate of return of an investor's portfolio of y stocks during a period and is the return for stocks included in a stock exchange index during the x same period. 12 8 144 96 13 6 169 78 14 4 196 56 15 0 225 0 16 6 256 96 17 12 289 204 18 14 324 252 105 14 1603 3 Index Portfolio Return Return BB C ÐBÑ ÐCÑ #  B œ BCœ !! ! ! # 22 2. The slope of the least squares line is a. 4.0 b. 2.75 c. .477 d. 4.0 e. 2.75 3. If the sample correlation coefficient is .80, then the percentage of variability in the dependent variable r C that is accounted for by the linear relationship between and is CB a. 36% b. 80% c. 64% d. 20% e. cannot be determined 4. For a community swimming pool in Miami, Florida, (daily attendance) is found to be related to (noontime temperature, in degrees Fahrenheit) according to the least squares line C œ #!!  "!B s Today's noontime temperature is 5 degrees colder than yesterday's. Compared to yesterday's estimate of the number of swimmers, today's estimate will be a. 50 more b. 5 less c. 205 less d. 50 less e. 250 less 5.
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## This note was uploaded on 03/27/2009 for the course BUS Bus350 taught by Professor Reiland during the Spring '09 term at N.C. State.

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finalexam_sp07 - BUS/ST 350 Spring'07 Final Exam version 1...

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