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EQUATION 2: 0, = 0.10 - 2.53(SIZE) + 1.64(AO) EQUATION 3: 0, = 175.12 + 0.005(SIZE.) + 0.549(AO) Where: 0, = total daily trips perhousehold produced in zone i SIZE, = household sizein zone i AO, = auto-ownership level in zone i First, critique the three regression equations. Be specificin yourcritique. Second, select one equation to use. Be explicit in informing me of which equation you chose. Third, estimate the forecasted number of trips being produced.

EQUATION 2: 0, = 0.10 - 2.53(SIZE) + 1.64(AO) EQUATION 3: 0, = 175.12 + 0.005(SIZE.) + 0.549(AO) Where: 0, = total daily trips perhousehold produced in zone i SIZE, = household sizein zone i AO, = auto-ownership level in zone i First, critique the three regression equations. Be specificin yourcritique. Second, select one equation to use. Be explicit in informing me of which equation you chose. Third, estimate the forecasted number of trips being produced.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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3. Multiple Regression Analysis You have been asked to estimate the numberof trip productions that will result from anew development (single zone) being considered. While you asked forforecasted number of trips, your interns were busy checking Facebook, surfing the web, and texting their friends and collected the following data which is actually the forecasted number of households in your trafficanalysis zone based upon Auto Ownership and Family Size. Auto Ownership 1 Family Size 2 1 15 75 25 2 36 98 127 45 120 198 In a last-ditch effort to have something to show your boss in the morning, you scoured the internet for some type of regression equation you could use to estimate the numberof trips produced based upon the data your interns collected for you. You identified the following three possible regression equations to use: EQUATION 1: 0, = 0.08 + 0.895(SIZE) + 0.549(AO) EQUATION 2: 0, = 0.10 - 2.53(SIZE) + 1.64(AO.) EQUATION 3: 0, = 175.12 + 0.005(SIZE.) + 0.549(AO) Where: 0, = total daily trips perhousehold produced in zone i SIZE, = household sizein zone i AO, = auto-ownership level in zone i First, critique the three regression equations. Be specificin yourcritique. Second, select one equation to use. Be explicit in informing me of whichequation you chose. Third, estimate the forecasted number of trips being produced. 3.
Transcribed Image Text:3. Multiple Regression Analysis You have been asked to estimate the numberof trip productions that will result from anew development (single zone) being considered. While you asked forforecasted number of trips, your interns were busy checking Facebook, surfing the web, and texting their friends and collected the following data which is actually the forecasted number of households in your trafficanalysis zone based upon Auto Ownership and Family Size. Auto Ownership 1 Family Size 2 1 15 75 25 2 36 98 127 45 120 198 In a last-ditch effort to have something to show your boss in the morning, you scoured the internet for some type of regression equation you could use to estimate the numberof trips produced based upon the data your interns collected for you. You identified the following three possible regression equations to use: EQUATION 1: 0, = 0.08 + 0.895(SIZE) + 0.549(AO) EQUATION 2: 0, = 0.10 - 2.53(SIZE) + 1.64(AO.) EQUATION 3: 0, = 175.12 + 0.005(SIZE.) + 0.549(AO) Where: 0, = total daily trips perhousehold produced in zone i SIZE, = household sizein zone i AO, = auto-ownership level in zone i First, critique the three regression equations. Be specificin yourcritique. Second, select one equation to use. Be explicit in informing me of whichequation you chose. Third, estimate the forecasted number of trips being produced. 3.
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