Please see the attached images for problem data. Appears that I got the problem wrong so can use some great help! Thanks Data: Program Per-Year Tuition ($)Mean Starting Salary Upon Graduation ($)63724153070666301550006801314699368300145146664121398796654315098767671150702699271482146460213336363552146360677721460666075214801762369141289578161362115562112213056385118657569371281435088413098353195131361513511205544512311433348225111894497981094464656810695939254819084721380788476339991651018794303721688340328777617242643737284099752291488076627734080103181242015656742467793813907052931 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 apredictor of starting salary. Data were collected for 37 full-time MBA programs offered at private universities. The data are stored in the accompanying table. The least-squaresregression equation for these data is Y; = - 10,716.747 + 2.364x, and the standard error of the estimate is Syy = 15,839.846. Assume that the straight-line model is appropriate andthere are no serious violations the assumptions of the least-squares regression model. Complete parts (a) and (b) below.E Click the icon to view the data on program per-year tuition and mean starting salary.a. At the 0.05 level of significance, is there evidence of a linear relationship between the starting salary upon graduation and program per-year tuition?Determine the hypotheses for the test.Ho: Po* 42140.91385H,:B1= ||42140.91385(Type integers or decimals. Do not round.)

Given: alpha=0.05 The hypothesis for the test is:

Answered: A prospective MBA student would like to…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Please see the attached images for problem data. Appears that I got the problem wrong so can use some great help!

Thanks

Data:

Program Per-Year Tuition ($)	Mean Starting Salary Upon Graduation ($)
63724	153070
66630	155000
68013	146993
68300	145146
66412	139879
66543	150987
67671	150702
69927	148214
64602	133363
63552	146360
67772	146066
60752	148017
62369	141289
57816	136211
55621	122130
56385	118657
56937	128143
50884	130983
53195	131361
51351	120554
45123	114333
48225	111894
49798	109446
46568	106959
39254	81908
47213	80788
47633	99916
51018	79430
37216	88340
32877	76172
42643	73728
40997	52291
48807	66277
34080	103181
24201	56567
42467	79381
39070	52931

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 accompanying table. The least-squares
regression equation for these data is Y; = - 10,716.747 + 2.364x, and the standard error of the estimate is Syy = 15,839.846. Assume that the straight-line model is appropriate and
there are no serious violations the assumptions of the least-squares regression model. Complete parts (a) and (b) below.
E Click the icon to view the data on program per-year tuition and mean starting salary.
a. At the 0.05 level of significance, is there evidence of a linear relationship between the starting salary upon graduation and program per-year tuition?
Determine the hypotheses for the test.
Ho: Po
* 42140.91385
H,:
B1
= ||42140.91385
(Type integers or decimals. Do not round.)

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