The following regression is fitted using variables identified that could be related to studentrequestedloan amount, LOAN-AMT($) for returning students of a certain University.LOAN AMT = a + ß ACCEPT + y PREV + λ OUTSWhere ACCEPT = the percentage of applicants that was accepted by the university, PREV=previous loan amount and OUTS outstanding loan amountThe data was processed using MNITAB and the following is an extract of the output obtained:PredictorConstantACCEPTPREVOUTSS = 2685Coef-26780116.00-4.2170.85R-Sq = 69.6%Analysis of VarianceDF3SourceRegressionResidual Error 49Total52SSEXHIBIT 2St Dev611537.1714.1215.778081393713531930511161332421a) What is dependent and independent variables?b) Fully write out the regression equationT*3.14-0.304.49MS2693797907208021c) What is the sample size used in this investigation?d) Fill in the blanks identified by *** and ****.e) Is ẞ significant, at the 5% level of significance?P0.0000.003**0.000R-Sq (adj)= 67.7%F37.37P0.00

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The following regression is fitted using variables identified that could be related to student requested loan amount, LOAN-AMT($) for returning students of a certain University. LOAN - AMT = a + ß ACCEPT + y PREV + A OUTS Where ACCEPT = the percentage of applicants that was accepted by the university, PREV= previous loan amount and OUTS -outstanding loan amount The data was processed using MNITAB and the following is an extract of the output obtained: