This question requires you to use STOCKS Dataset under SASHELP library. You are required to paste the SAS code in the textbox below along with answering any questions asked. Make a SAS program to do the following:

• Generate a temporary dataset named "Stocks" that uses SASHELP.STOCKS to get the data
• Bring only the following variables from the SASHELP.STOCKS dataset
  • Stock
  • Date
  • High
  • Low
  • Volume
• Filter the data to include only the observations for the month of March, June, September and December.
• The data should also be filtered for the observations that are less than 25 years old from today.
• Generate a new column, "Day" that contains the specific weekday extracted from the Date. This column should contain the character equivalent weekday of the date, e.g., Monday, Tuesday etc. (Hint: Use proc format for creating weekday format)
• Format Date column as Thu, Dec 1, 2005.
• Write Proc Tabulate to generate the output shown below (make sure to keep in to account the labels):

Volume High Low Sum Mean Mean Stock Day IBM Monday $137,318,360.00 $113.54 $100.37 Tuesday $83,717,372.00 $115.25 $99.53 Wednesday $39,726,862.00 $108.68 $95.42 Thursday $30,335,217.00 $100.69 $87.91 Friday $29,683, 160.00 $116.89 $99.98 Weekly Total / Avg. $320,780,971.00 $112.25 $98.08 Intel Day Monday $1084740300.00 $72.72 $62.15 Tuesday $607,085,708.00 $60.28 $50.60 Wednesday $345, 127,852.00 $65.73 $53.83 Thursday $214,960,353.00 $56.89 $49.34 Friday $234,001,284.00 $45.09 $31.58 Weekly Total / Avg. $2485915497.00 $64.00 $53.46 Microsoft Day Monday $1016092706.00 $89.38 $68.44 Tuesday $690,939,414.00 $82.25 $70.88 Wednesday $402,829,704.00 $69.01 $57.81 Thursday $289,230,586.00 $49.70 $41.20 Friday $312, 167, 100.00 $68.46 $55.82 Weekly Total / Avg. $2711259510.00 $78.20 $63.34