Question

& 9.3.11-T Question Help The number of initial public offerings of stock issued in a 10-year period and the total proceeds of these offerings (in milions) are shown in the table. The equation of the regression line is 46.320x 18,843.16. Complete parts a and b , 406 461 688 499 498 377 57 69192 153 Proceeds, 17,893 28,654 42,827 31,617 67.306 65,407 21,402 11,244 31,691 27,878 The coefficient of determination is the fraction of the variation in proceeds that is unexplained and is due to other factors or sampling error. The remaining fraction of the variation is explained by the variation in issues. The coefficient of determination is the raction of the variation in proceeds that can be explained by the variation in issues. The remaning raction of tho variation is unexplained and s due to other factors or to sampling error (b) Find the standard error of estimate s, and interpret the result Round to three decimal places as needed) The number of initial public offerings of stock issued in a 10-year period and the total proceeds of these offerings (in millions) are shown in the table. The equation of the re y 46.320x+18.843.16. Complete parts a and b. Issues, x 406 | 461 | 688 | 499 | 498 | 377 | 57 | 69 | 192 | 153 | s, 17,893 28,654 42,827 31,617 67,306 65,407 21,402 11,244 31,691 27,878 The coeflicient of determination is the fraction of the variation in proceeds that is unexplained and is due to other factors or sampling error. The remaining fraction of the explained by the variation in issues The coofficient of determination is the traction of the varlation in proceeds that can be explained by the variation in issues. The remaining fraction of the variation is uner is due to other factors or to sampling error (b) Find the standard error of estimate s, and interpret the result d to three decimal places as needed.)

Answer 1

SUMMARY OUTPUT
Regression Statistics
Multiple R	0.520612997
R Square	0.271037893
Adjusted R Square	0.179917629
Standard Error	17030.84168
Observations	10
ANOVA
	df	SS	MS	F	Significance F
Regression	1	862754571	8.63E+08	2.974507	0.122870837
Residual	8	2320396546	2.9E+08
Total	9	3183151117
	Coefficients	Standard Error	t Stat	P-value	Lower 95%	Upper 95%
Intercept	18843.16067	10601.30983	1.777437	0.113393	-5603.503605	43289.825
X Variable 1	46.31982154	26.85711475	1.724676	0.122871	-15.61279608	108.252439

from above output

standard error of estimate s_e  =  17030.84168

= 17030.842