"IE l'Engtl'Br at 3 small UHIUEF'SIN I'IDIIE that the ore-enrollment HEUFES and the actual enrollment HEUFES TBF [HE [.1351 6 years [in hundreds of

”IE l'Engtl'Br at 3 small UHIUEF‘SIN I'IDIIEfl that the ore-enrollment HEUFES and the actual enrollment HEUFES TBF [HE [.1351 6 years [in hundreds of students] were as shown here: mime-enrollment] 3t} 35 42 43 SD 51
ylactual enrollment} 33 41 4s 52 59 55 a. Plot the data. Does it appear that a linear relationship exists between a: and 3;? {answer yesfno] [ Select ] ¢ db b. Find the correlation between m and y. r =| [SEIECt] Test to see if there is a significant positive correlation between m and y. Use (I = ,{}5_ Step1:Hfl :pfifl vs.H1:p:=~{} Step 2: test statistics t= ! [ SEIECt] ¢ Step 3: critical t Wilue= [SEIE-flt] ¢ Step 4: {canfcannoti We: [59'9“] ¢ ! reject the null hypothesis Step 5: (is! isn't} We conclude that there [ 59'9“ 1 ¢ I a significant positive correlation between a: and y.