1.Using the regression technique calculate the trend series and forecast demand for the year 2003 from the historical sales data (in millions) given below: Year 1996 1997 1998 1999 2000 2001

Sales 45 56 58 62 66 70

2.The following table is related to the scores obtained by 9 salespersons of a software company in an intelligence test. Their monthly sales is given in lakh rupees as follows: Salespersons A B C D E F G H I

Intelligence test score 50 60 50 60 80 50 80 40 70

Monthly Sales 30 60 40 50 60 30 70 50 60

3.Using the index (with 1985 = 100) on housing price starts in India per year from 1986 to 1997 given in the table below, forecast the index for 1998 using the three- year and five years moving average. Which estimate is better and why? Year House price index Year House price index 1986 116 1992 113 1987 122 1993 125 1988 121 1994 146 1989 121 1995 142 1990 111 1996 156 1991 97 1997 162

4.When the price of commodity X was 10 per unit, people consumed 3000 units. With a fall in price to 9, they consumed 3150 units. State the formula and measure the elasticity of demand for X.

5.A consumer buys 10 units of a good at a price of 6 per unit. Price Elasticity of Demand is (-) 1. At what price will he buy 12 units? Use ratio method of Price Elasticity of Demand to answer this question.