In this question, you will practice a variable transformation using the Walmart dataset. a. Create a histogram of Sales. Describe the shape of the distribution. b. Compute a natural log transformation of Sales and create a histogram for this transformed data. Describe the shape of the distribution. c. Run a regression of this log-transformed Sales (y) on CPI (x). i. What is the y-intercept and the slope? ii. Write a sentence interpreting this slope. Date. Sales ($B). CPI. RetailPriceI. December 11/28/03 14.764 552.7 301337 0 12/30/03 23.106 552.1 357704 1 1/30/04 12.131 554.9 281463 0 2/27/04 13.628 557.9 282445 0 3/31/04 16.722 561.5 319107 0 4/29/04 13.98 563.2 315278 0 5/28/04 14.388 566.4 328499 0 6/30/04 18.111 568.2 321151 0 7/27/04 13.764 567.5 328025 0 8/27/04 14.296 567.6 326280 0 9/30/04 17.169 568.7 313444 0 10/29/04 13.915 571.9 319639 0 11/29/04 15.739 572.2 324067 0 12/31/04 26.177 570.1 386918 1 1/21/05 13.17 571.2 293027 0 2/24/05 15.139 574.5 294892 0 3/30/05 18.683 579 338969 0 4/29/05 14.829 582.9 335626 0 5/25/05 15.697 582.4 345400 0 6/28/05 20.23 582.6 351068 0 7/28/05 15.26 585.2 351887 0 8/26/05 15.709 588.2 355897 0 9/30/05 18.618 595.4 333652 0 10/31/05 15.397 596.7 336662 0 11/28/05 17.384 592 344441 0 12/30/05 27.92 589.4 406510 1 1/27/06 14.555 593.9 322222 0 2/23/06 18.684 595.2 318184 0 3/31/06 16.639 598.6 366989 0 4/28/06 20.17 603.5 357334 0 5/25/06 16.901 606.5 380085 0 6/30/06 21.47 607.8 373279 0 7/28/06 16.542 609.6 368611 0 8/29/06 16.98 610.9 382600 0 9/28/06 20.091 607.9 352686 0 10/20/06 16.583 604.6 354740 0 11/24/06 18.761 603.6 363468 0 12/29/06 28.795 604.5 424946 1 1/26/07 20.473 606.348 332797 0