Consider the case of a law lirm that specializes in personal injury (Pl) cases. The accompanying table shows the rm's new Pi cases each month over a 42-month period Also shown is the total expenditure on advenising each month, and over the previous 6 months. Do these data provide support tor the hypothesis that increased advertising expenditures are associated with more Pl cases? Conduct a complete slmpie linear regression analysis oi the data, letting v = new Pi cases and x =e.mcnth cumulative advertising expenditure. E Click the icon to View the data {or the rm's new PI cases and advenising expenditures. Advertising Expenditures and New Cases @ Determine the correct null and alternative hypotheses, Choose the correct answer below. 5 Moms Cumumive 5 Moms Cumulave 7 7 Advertising Advertising 'J A- \"01 [31 0 U 3- H03 I31 > 01 Ha t 0 =01 Ha \"1'0 14 $39,772 a $95,323 7 $37,423 17 $115,344 What is the least squares line? 10 $52 223 11 $108 549 = +( x 9 $55,250 is $127,675 (Round to four decimal places as needed) 17 $59,940 10 $122,750 What is the test statistic? 3 $55247 29 $123527 25 $66,080 11 $119,372 t: (Round to two decimal places as needed.) 26 $01,753 31 $134,678 26 $66,996 21 $139,911 wn ' . i 7 a' '5 "'9 p \"a \"e 13 $71,437 18 $142,389 p-value: (Round 10 four decimal places as needed.) '5 $751350 29 $149829 4 $01,575 51 $165,199 What is the proper conclusion? 22 $75 827 42 $155 730 15 $76,401 24 $145,407 . Do not reieci H0. There is insuincient evidence that increasing advertising expenditures increases Pl cases. 13 $90 791 47 $197 755 . Reject H0. There is insumcient evidence that increasing advertising expenditures increases Pl cases. 19 $951708 25 31971485 , 19 $03,102 15 $206,650 c. Reject H0. There is sufficient evidence that increasing advertising expenditures increases PI cases, 39 $92 720 32 $252 951 l; D. Do not reject H0. There is sufcient evidence that increasing advertising expenditures increases PI cases. 12 $90,479 25 $249,528