GROUPGROUPROLL NO.NAME231126SAHIL231127SAKET NANDAN231128SAKSHAM AGGARWAL231129SANCHI GROVER231130SANJAY

Sheet1Units Sold, Price, Advertising and Personal Selling Expenditures for Electronic Data Processing, Inc.

MonthUnits SoldPriceAdvertising ExpenditurePersonal Selling ExpenditureJanuary250038002680043000February225037002350039000March175036001740035000April150035001530034000May100032001040026000June250032001840041000July275032002820040000August175030001740033000September125029001230026000October300027002980045000November200027002030032000Decmber180027502000031000

Sheet2SUMMARY OUTPUT

Regression StatisticsMultiple R0.9855389584R Square0.9712870386Adjusted R Square0.960519678Standard Error121.3409156266Observations12ANOVAdfSSMSFSignificance FRegression33984502.724225931328167.5747419890.20660494750.0000016534Residual8117788.94244073714723.6178050921Total114102291.66666667

CoefficientsStandard Errort StatP-valueLower 95%Upper 95%Lower 95.0%Upper 95.0%INTERPRITATIONIntercept-75.1673874339324.6250238014-0.23155142680.8226991837-823.7540340922673.4192592243-823.7540340922673.4192592243constantPrice-0.32184901780.1083241248-2.97116656430.0178393398-0.5716448973-0.0720531382-0.5716448973-0.0720531382for a unit change in the price of quantity the demand goes down by 0.3218Advertising Expenditure0.03399390670.01304746012.6054041480.03135339570.00390640980.06408140370.00390640980.0640814037for a unit change in the advertisement expence of quantity the demand goes up by 0.0339Personal Selling Expenditure0.06849645820.01333074915.13823024750.000887060.03775569570.09923722070.03775569570.0992372207null hypothesisQ= (-75.16738743) + (-0.321849018)*P + 0.033993907*AE + 0.068496458*PSESIGNIFICANCERESIDUAL OUTPUTPROBABILITY OUTPUTsince P-value 0.822699183694715, 0.0178393398232713 and 0.000887060007881085 are less than 0.05 will have a significant effect. So, we can neglect the null hypothesis for values less than 0.05ObservationPredicted Units SoldResidualsStandard ResidualsPercentileUnits Sold12558.1907490106-58.1907490106-0.56233877264.1666666667100022204.209925690345.79007430970.442502195312.5125031755.0461635374-5.0461635374-0.048764682720.8333333333150041647.3474029639-147.3474029639-1.423923203229.1666666667175051029.3602995336-29.3602995336-0.283729546137.5175062328.7584267193171.24157328071.654829638345.8333333333180072593.4022544084156.59774559161.513315871454.1666666667200081811.1626577441-61.1626577441-0.591058449562.5225091190.503427641559.49657235850.574957876370.83333333332500103151.1993051768-151.1993051768-1.461146885679.16666666672500111937.803234352662.19676564740.601051772887.52750121843.0161532215-43.0161532215-0.415695814595.83333333333000

Sheet3MonthUnits SoldPriceREVENUEPERIODELASTICITY= % CHANGE IN UNITS SOLD/%CHANGE IN PRICEJanuary250038009500000February225037008325000Jan-Feb3.8GOODS ARE INFERIORMarch175036006300000Feb-Mar8.222222GOODS ARE INFERIORApril150035005250000Apr-May1.142857GOODS ARE INFERIORMay100032003200000Apr-May3.888889GOODS ARE INFERIORJune250032008000000May-Jun1500/0NEW PRICE AND OLD PRICE IS SAMEJuly275032008800000Jun-July250/0NEW PRICE AND OLD PRICE IS SAMEAugust175030005250000July-Aug5.81818GOODS ARE INFERIORSeptember125029003625000Aug-Sep8.571429GOODS ARE INFERIOROctober300027008100000Sep-Oct-20.3GOODS ARE NORMALNovember200027005400000Oct-NovERROR:#DIV/0!NEW PRICE AND OLD PRICE IS SAMEDecmber180027504950000Nov-Dec-5.4GOODS ARE NORMAL