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Consider the multiple regression model Y=Bl + Blrt2+ BBXtE +et 1. Explain the six assumptions {MRIMR6) that are needed in orderto establish desirable properties of DLS estimates of, 2. If you suspected that your dependent variable '1'\" was not stationary, explain the three unit root processes that you could test for. 3. What does it mean to 'lag\" one of the variables in this model? 4. What does the \"e\" represent in the model? (c) The following graph shows various residual plots from a linear time series regression model fitted with the data. Discuss the results from the residual plots. (3 marks) Residuals from Linear regression model 0.3 - 0.2 - 0.1 - 0.0 - -0.1 - -0.2 - -0,3 - 2010 2012 2014 2016 2018 10.0 - 0.2- 7.6 - ACF 0.0- count 5.0 2.5 - 0.2- 0.0 - 8 10 12 -0.25 0.00 0.25 Lag residualsA LLS. corporation is planning to issue 520 million worth of IBday commercial paper. In order to reduce the interest rates by 25 basis points {per year}, it plans to back this issue with a standby letter of credit or a loan commitment. The standby letter of credit is available for 2!] basis points {per year} to be paid tip-front. The loan commitment for $213 million is available for an upfront fee of 15 basis points {per year) and a 5 basis points back-end fee. {a} Calculate the savings to the corporation if it obtains a standby letter of credit to back its $20 million issue of commercial paper. {b} Calculate the savings to the corporation if it obtains a loan commitment to back its 52D million issue of commercial paper