Construct a 95% confidence interval and an 95% prediction estimate of the mean. Will like answers.

Replace 51,000 with 50700, and pull from the table below:

Program Per-Year Tuition ($) Mean Starting Salary Upon Graduation ($) 64822 153552 67215 153598 66526 149162 67539 145339 66045 141718 65348 155455 66167 151979 69181 150150 64724 138750 62950 146871 66273 145640 62001 145371 60328 141493 56017 136040 56121 122273 54969 117539 55617 128075 50484 131040 52028 133314 50823 122927 45563 114356 48359 107875 50186 112795 46744 108169 38107 77900 49168 82128 46503 102800 49959 79027 38598 87676 34225 73725 44020 74767 40350 54426 49347 66498 34631 99997 22743 56220 42682 80670 39890 52857

Also solve this:

Replace 800 with 811, and pull from the table below:

Apartment Size (sq feet) Rent ($) 1 526 1122 2 607 1184 3 671 1181 4 822 1422 5 443 1201 6 541 1226 7 785 1471 8 830 1479 9 1078 1504 10 600 1695 11 849 1798 12 658 1636 13 585 1460 14 672 1385 15 729 1163 16 832 1127 17 894 1221 18 620 1439 19 653 1518 20 850 1116 21 806 1144 22 811 1245 23 955 1440 24 786 1179 25 800 1225 26 964 1379 27 753 1137 28 684 1104 29 834 1363 30 834 1548

Thanks, respond asap.

Pursuing an MBA is a major personal investment. Tuition and expenses associated with business school programs are costly, but the high costs come with hopes of career advancement and high salaries. A prospective MBA student would like to examine the factors that impact starting salary upon graduation and decides to develop a model that uses program per-year tuition as a predictor of starting salary. Data were collected for 37 full-time MBA programs offered at private universities. The data are stored in the accombanvina table. Comblete parts (a) throuah (c) below. a. Construct a 95% confidence interval estimate of the mean starting salary upon graduation of an individual program with per-year tuition cost of $51,000. $104,215YX=51,000$115,478 (Round to the nearest dollar.) b. Construct a 95% prediction interval of the starting salary upon graduation of an individual program with per-year tuition cost of $51,000. $75,453YX=51,000$144,240 (Round to the nearest dollar.) c. Why is the interval in (a) narrower than the interval in (b)? A. One can predict a single observation more precisely than one can estimate a mean. B. The sinqle predicted observation is larger than the estimated mean. An agent for a real estate company in a suburb has the business objective of developing more accurate estimates of the monthly rental cost for apartments. The agent would like to use the size of an apartment, as defined by square footage to predict the monthly rental cost. The agent collects data from a sample of 30 one-bedroom apartments. Complete parts (a) through (c). a. Construct a 90% confidence interval estimate of the mean monthly rental for all one-bedroom apartments that are 800 square feet in size. 1284.22YX=800 (Type integers or decimals. Round to two decimal places as needed. Use ascending order.) b. Construct a 90% prediction interval of the monthly rental for an individual one-bedroom apartment that is 800 square feet in size. YX=800 (Type integers or decimals. Round to two decimal places as needed. Use ascending order.) c. Explain the differences in the results from (a) and (b). A. Since there is more variation in predicting an individual value than in estimating a mean value, the prediction interval is narrower than the confidence interval, holding everything else fixed. B. Since there is more variation in estimating a mean value than in predicting an individual value, the confidence interval is narrower than the prediction interval, holding everything else fixed. C. Since there is more variation in predicting an individual value than in estimating a mean value, the prediction interval is wider than the