What would you expect to be the level of Gross Sales if Advertising expenses were cut to zero?

Base your answers on the following linear regression output. Input your answer as an integer.

SUMMARY OUTPUT
Regression Statistics
Multiple R	0.776
R Square	0.602
Adjusted R Square	0.581
Standard Error	585
Observations	21
ANOVA
	df	SS	MS	F	Significance F
Regression	1	9807108	9807108	28.691	0.000
Residual	19	6494659	341824.1
Total	20	16301767
	Coefficients	Standard Error	t Stat	P-value	Lower 95%	Upper 95%
Intercept	25992	260	100	0	25447	26537
Advertising	0.26	0.05	5.36	0.00	0.16	0.36

Flag question: Question 2

Question 2 2 pts

If we spend $5,000 on advertising expenses what would you expect Gross Sales to be?

Base your answers on the following linear regression output. Input your answer as an integer.

SUMMARY OUTPUT
Regression Statistics
Multiple R	0.776
R Square	0.602
Adjusted R Square	0.581
Standard Error	585
Observations	21
ANOVA
	df	SS	MS	F	Significance F
Regression	1	9807108	9807108	28.691	0.000
Residual	19	6494659	341824.1
Total	20	16301767
	Coefficients	Standard Error	t Stat	P-value	Lower 95%	Upper 95%
Intercept	25992	260	100	0	25447	26537
Advertising	0.26	0.05	5.36	0.00	0.16	0.36

Flag question: Question 3

Question 3 3 pts

How would you interpret the ability of Advertising Expenditures to predict Gross Sales?

Base your answers on the following linear regression output

SUMMARY OUTPUT
Regression Statistics
Multiple R	0.776
R Square	0.602
Adjusted R Square	0.581
Standard Error	585
Observations	21
ANOVA
	df	SS	MS	F	Significance F
Regression	1	9807108	9807108	28.691	0.000
Residual	19	6494659	341824.1
Total	20	16301767
	Coefficients	Standard Error	t Stat	P-value	Lower 95%	Upper 95%
Intercept	25992	260	100	0	25447	26537
Advertising	0.26	0.05	5.36	0.00	0.16	0.36

Group of answer choices

Advertising has a statistically significanct effect on Sales

Advertising is related to Sales but is not statistically significant

Advertising and Sales are independent

Flag question: Question 4

Question 4 3 pts

How much of the variation in Gross Sales can be explained by variation in Advertising expenditures?

Base your answers on the following linear regression output. Enter percentage as an integer so 45.3% would just be 45.

SUMMARY OUTPUT
Regression Statistics
Multiple R	0.776
R Square	0.602
Adjusted R Square	0.581
Standard Error	585
Observations	21
ANOVA
	df	SS	MS	F	Significance F
Regression	1	9807108	9807108	28.691	0.000
Residual	19	6494659	341824.1
Total	20	16301767
	Coefficients	Standard Error	t Stat	P-value	Lower 95%	Upper 95%
Intercept	25992	260	100	0	25447	26537
Advertising	0.26	0.05	5.36	0.00	0.16	0.36