For the multiple regression model Y= 40+ 15X1 10X2+ 5X1X2, if X2 is known to be 5 units, and X1 was known to be 1 unit, then we expect the dependent variable to be 35 units. 60 units. 40 units. Cannot be determined. For the multiple regression model Y= 40+ 15X1 10X2+ 5X1X2, if X1 is known to increase by 5 units, then we expect the dependent variable to increase by 35 units. increase by 50 units. decrease by 40 units. 0 Cannot be determined. Consider the following monthly sales data for a company: Jan-2015 147772 Feb-2015 144335 Mar-2015 163943 Apr-2015 169634 May-2015 175371 Jun-2015 174825 Jul-2015 176995 Aug-2015 176208 Sep-2015 170202 Oct-2015 175510 Nov-2015 180364 Dec-2015 217629 Jan-2016 154400 Feb-2016 155596 Mar-2016 183782 Apr-2016 181209 May-2016 186359 Jun-2016 189244 Jul-2016 184978 Aug-2016 192925 Using the method of moving averages over 4 months, which month in 2016 best matches the predicted value?Consider the following monthly sales data for a company: Jan-2015 147772 Feb-2015 144335 Mar-2015 163943 Apr-2015 169634 May-2015 175371 Jun-2015 174825 Jul-2015 176995 Aug-2015 176208 Sep-2015 170202 Oct-2015 175510 Nov-2015 180364 Dec-2015 217629 Jan-2016 154400 Feb-2016 155596 Mar-2016 183782 Apr-2016 181209 May-2016 186359 Jun-2016 189244 Jul-2016 184978 Aug-2016 192925 Using the method of moving averages over 3 months for the data, how does the predicted value compare with the actual value for July 2016?A time series can consist of four different components: trend, seasonal, cyclical, and random (or noise). 0 True False For the multiple regression model Y= 15X + 2X -4X , if X were to decrease by 4 units, holding X and 3 X constant, the value of Y would be expected to increase by 60 units. O True O False