Coefficients Standard Error t Stat P value Lower 95 Upper 95 Lower 95 0 Upper 95 0 Intercept 15363 10617 30326 88129 0 50658 0 613200752 75292 73845 44566 5261 75292 73845 44566 52612 COST 0 444331336 0 167146468 2 658335 0 008716424 0 114029442 0 77463323 0 114029442 0 77463323 TOTALSTUDENTS 0 228773767 0 622926803 0 367256 0 713952488 1 002205899 1 45975343 1 002205899 1 459753434 FACULTY 3 502791332 15 13202114 0 231482 0 817260057 26 39993602 33 4055187 26 39993602 33 40551869 HSGPA 35645 13659 8875 898679 4 015947 9 38E 05 18105 27356 53184 9996 18105 27356 53184 99962 LIBVOL 21 41717659 5 97590333 3 583923 0 00045878 9 608059604 33 2262936 9 608059604 33 22629358 Rank 304 243799 34 89141266 8 71973 5 27E 15 373 1935044 235 29409 373 1935044 235 2940936 what strategy or strategies would you recommend for improving the starting salaries of SWC graduates Explain in detail, justifying with evidence from your analysis Total Students The variable slope is 0 228773767 which means if the value of total students increases by 1, then the starting salary will increase by 0 228773767 Faculty The variable slope is 3 502791332 which means if the value of faculty increases by 1, then the starting salary will increase by 3 502791332 Cost The variable slope is 0 444331336 which means if the value of cost increases by 1, then the starting salary will increase by 0 444331336 The test statistic for cost is 2 658335 which means that there is a moderate, positive correlation between cost and the starting salary of the students HSGPA The variable slope is 35645 13659 which means if the value of HSGPA increases by 1, then the starting salary will increase by 35645 13659 The test statistic for HSGPA is 4 015947 which means there is a strong, positive correlation between HSGPA and the starting salary of the students LIBVOL The variable slope is 21 41717659 which means if the value of LIBVOL increases by 1, then the starting salary will increase by 21 41717659 The test statistic for LIBVOL is 3 5839923 which means there is a strong, positive correlation between the LIBVOL and the starting salary of the students Rank The variable slope is 304 243799 which means if the value of rank increases by 1, then the starting salary will increase by 304 243799 The test statistic for rank is 8 71973 which means there is a strong, negative correlation between rank and the starting salary of the students

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Question: Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept -15363.10617 30326.88129 -0.50658 0.613200752 -75292.73845 44566.5261 -75292.73845 44566.52612 COST 0.444331336

	Coefficients	Standard Error	t Stat	P-value	Lower 95%	Upper 95%	Lower 95.0%	Upper 95.0%
Intercept	-15363.10617	30326.88129	-0.50658	0.613200752	-75292.73845	44566.5261	-75292.73845	44566.52612
COST	0.444331336	0.167146468	2.658335	0.008716424	0.114029442	0.77463323	0.114029442	0.77463323
TOTALSTUDENTS	0.228773767	0.622926803	0.367256	0.713952488	-1.002205899	1.45975343	-1.002205899	1.459753434
FACULTY	3.502791332	15.13202114	0.231482	0.817260057	-26.39993602	33.4055187	-26.39993602	33.40551869
HSGPA	35645.13659	8875.898679	4.015947	9.38E-05	18105.27356	53184.9996	18105.27356	53184.99962
LIBVOL	21.41717659	5.97590333	3.583923	0.00045878	9.608059604	33.2262936	9.608059604	33.22629358
Rank	-304.243799	34.89141266	-8.71973	5.27E-15	-373.1935044	-235.29409	-373.1935044	-235.2940936

what strategy or strategies would you recommend for improving the starting salaries of SWC graduates? Explain in detail, justifying with evidence from your analysis.

Total Students -The variable slope is 0.228773767 which means if the value of total students increases by 1, then the starting salary will increase by 0.228773767.
Faculty -The variable slope is 3.502791332 which means if the value of faculty increases by 1, then the starting salary will increase by 3.502791332.
Cost -The variable slope is 0.444331336 which means if the value of cost increases by 1, then the starting salary will increase by 0.444331336 .The test statistic for cost is 2.658335 which means that there is a moderate, positive correlation between cost and the starting salary of the students.
HSGPA -The variable slope is 35645.13659 which means if the value of HSGPA increases by 1, then the starting salary will increase by 35645.13659 .The test statistic for HSGPA is 4.015947 which means there is a strong, positive correlation between HSGPA and the starting salary of the students.
LIBVOL -The variable slope is 21.41717659 which means if the value of LIBVOL increases by 1, then the starting salary will increase by 21.41717659 .The test statistic for LIBVOL is 3.5839923 which means there is a strong, positive correlation between the LIBVOL and the starting salary of the students.
Rank -The variable slope is 304.243799 which means if the value of rank increases by 1, then the starting salary will increase by 304.243799.The test statistic for rank is 8.71973 which means there is a strong, negative correlation between rank and the starting salary of the students.

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