Hours Spent Studying Total Points Earned 22 12 20 18 29 25 24 25 43 28 46 29 39 35 40 39 51 40 43 43 39 43 51 49 52 50 65 51 57 53 56 53 52 55 66 55 63 57 68 57 67 59 42 59 65 59 69 60 72 60 66 61 53 61 45 61 58 62 81 62 60 62 57 62 77 62 78 63 67 64 78 64 72 64 58 64 71 65 76 65 79 66 83 66 65 66 72 66 71 66 52 67 78 67 70 67 81 67 80 68 79 68 72 68 75 68 91 68 65 68 84 69 77 69 78 70 72 70 84 70 83 70 67 70 80 71 78 71 72 72 70 72 94 72 92 72 84 73 98 73 78 73 78 73 84 73 74 74 90 74 83 74 84 74 83 75 78 75 93 75 80 75 101 76 81 76 83 76 91 76 83 76 93 76 78 76 78 77 65 77 84 77 97 77 88 77 93 78 93 78 95 78 95 79 91 79 95 79 94 79 95 80 102 80 105 80 83 80 99 80 97 81 79 81 101 81 88 82 93 83 95 85 94 85 104 85 88 85 80 86 98 86 83 86 91 86 90 87 83 87 92 88 88 88 99 89 101 90 101 90 99 90 102 90 84 90 110 91 93 91 105 91 109 91 91 92 104 92 95 92 98 92 91 93 104 93 104 94 106 95 95 95 106 95 92 95 101 96 95 96 109 96 95 96 101 96 105 97 104 97 104 97 105 98 95 99 109 100 110 100 101 100 Develop an estimated linear regression equation showing how total points earned (y) is related to hours spent studying (x). What is the estimated linear regression model? (Round your numerical values to four decimal places.) ŷ =          (c) Test whether the parameter ?0 is equal to zero at a 0.01 level of significance. Find the p-value. (Round your answer to four decimal places.) p-value =   State your conclusion. (Make your conclusion regardless of any validity concerns.) We reject H0. We can conclude that the y-intercept is not equal to zero.We fail to reject H0. We cannot conclude that the y-intercept is not equal to zero.    We reject H0. We cannot conclude that the y-intercept is not equal to zero.We fail to reject H0. We can conclude that the y-intercept is not equal to zero. Test whether the parameter ?1 is equal to zero at a 0.01 level of significance. (Use the t test.) Find the p-value. (Round your answer to four decimal places.) p-value =   State your conclusion. (Make your conclusion regardless of any validity concerns.) We fail to reject H0. We cannot conclude that there is a relationship between hours spent studying and total points earned.We reject H0. We can conclude that there is a relationship between hours spent studying and total points earned.    We reject H0. We cannot conclude that there is a relationship between hours spent studying and total points earned.We fail to reject H0. We can conclude that there is a relationship between hours spent studying and total points earned. What are the correct interpretations of the estimated parameters? b0 is our estimate of the hours spent studying when total points earned is zero. b1 is our estimate of the change in hours spent studying for a one point increase in total points earned.b0 is our estimate of the change in total points earned for a one hour increase in time spent studying. b1 is our estimate of the total points earned when the hours spent studying is zero.    b0 is our estimate of the change in hours spent studying for a one point increase in total points earned. b1 is our estimate of the hours spent studying when total points earned is zero.b0 is our estimate of the total points earned when the hours spent studying is zero. b1 is our estimate of the change in total points earned for a one hour increase in time spent studying. Are these interpretations reasonable? The interpretation of b0      reasonable and the interpretation of b1      reasonable. (d) How much of the variation in the sample values of total points earned (in %) does the model you estimated in part (b) explain? (Round your answer to two decimal places.)   %

Construct the frequency distribution for drive-through service times for Burger King lunches using the accompanying data set. Times begin when a vehicle stops at the ord window and end when the vehicle leaves the pickup window. Lunch times were measured between 11:00 AM and 2:00 PM. Begin with a lower class limit of 70 seconds an use a class width of 40 seconds. Click the icon to view the drive-through service times. Construct the frequency distribution. Service Time (seconds) 70- Frequency (Type whole numbers.)

Day  Revenue Occupied 1 1452 32 2 1361 20 3 1426 21 4 1470 25 5 1456 26 6 1430 23 7 1354 20 8 1442 39 9 1394 15 10 1459 50 11 1399 41 12 1458 35 13 1537 41 14 1425 31 15 1445 51 16 1439 62 17 1348 45 18 1450 41 19 1431 62 20 1446 47 21 1485 43 22 1405 38 23 1461 36 24 1490 60 25 1426 65

Data 16 24 24 24 27 27 27 34 34 34 34 34 34 34 34 35 35 37 37 37 43 44 44 44 44 44 45 45 45 45 45 45 45 45 45 45 45 45 45 45 45 46 46 46 47 47 47 54 54 54 56 56 56 56 56 56 56 57 57 57 57 57 57 57 57 57 57 57 57 57 58 58 58 58 58 62 64 64 64 64 64 64 64 64 64 64 64 64 64 65 65 65 65 65 65 65 65 67 67 67 67 67 67 67 67 68 68 68 68 69 69 69 73 73 73 73 74 74 74 74 74 74 75 75 75 75 75 75 75 75 75 75 76 76 76 78 78 78 78 78 78 78 78 78 78 78 78 78 78 78 80 80 80 83 83 83 84 84 85 85 85 85 85 86 86 86 86 86 86 86 86 86 86 86 86 87 87 87 87 87 87 87 87 87 87 87 87 87 87 87 87 87 87 87 87 87 87 89 90…