A student would like to study the relationship between paper consumption (Y) and the number of families in the city (X) during a particular year. After performing regression analysis, the partial computer output is given below:

SUMMARY OUTPUT
Regression Statistics
Multiple R	0.659359482
R Square	0.434754926
Adjusted R Square	0.407838494
Standard Error	819.8119624
Observations	23
ANOVA
	df	SS	MS	F	Significance F
Regression	1	B	C	16.15203	0.000620941
Residual	A	14113924.73	672091.6536
Total	22	24969566.96
	Coefficients	Standard Error	t Stat	P-value
Intercept	811.0053151	553.5713447	1.465042082	0.157722
X Variable 1	0.225958133	0.056223059	4.018958391	0.000621

a) What is the estimated regression line?

b) What is the value of R²? Please explain its meaning.

c) Three values are missing in the ANOVA table which are represented by a, b, and c. Calculate the missing values.

d) Is the model overall significant? State the null and alternative hypothesis and you conclusion of the hypothesis testing results based on the table.

e) If the number of families is 7030, what is the paper consumption?