Based on the excel report (I pasted the info at the bottom of the question). I do not have any other information.

Thanks!

• Analyze the regression results including all of the following in your analysis
  • Adjusted R Squared
  • Significance F
  • P Value
  • Coefficients
• Also state what overall conclusion you draw from this analysis
  • Use your own words (you will not receive any credit for phrases copied from the textbook or video)
  • Do not just state the numbers; indicate what the numbers are telling us
  • Mention how you know that is what the numbers are telling us
  • Explain in business terms how one variable would affect another (as applicable to that particular statistic) such as increase, decrease, positive relationship, negative relationship, strong or significant relationship, weak or not a significant relationship, etc.
  • The explanations should be brief like bullet points (not lengthy sentences, not a paragraph)

SUMMARY OUTPUT
Regression Statistics
Multiple R	0.535927511
R Square	0.287218297
Adjusted R Square	0.26625413
Standard Error	6938.734668
Observations	36
ANOVA
	df	SS	MS	F	Significance F
Regression	1	659621859.2	659621859.2	13.70043883	0.000755105
Residual	34	1636965319	48146038.79
Total	35	2296587178
	Coefficients	Standard Error	t Stat	P-value	Lower 95%	Upper 95%	Lower 95.0%	Upper 95.0%
Intercept	819247.4551	51893.25883	15.7871653	3.21959E-17	713787.6648	924707.2454	713787.6648	924707.2454
Advertising Expenses	3.677554271	0.993554859	3.701410384	0.000755105	1.658407864	5.696700677	1.658407864	5.696700677