A software developer would like to use the number of downloads (in thousands) to predict the amount of revenue (in hundreds of dollars) that they can earn from the full version of the new shareware Answer the following questions based on the regression analysis below regression statistics Multiple R 0 8691 R Plaza 0 7554 adjusted r squared 0 7467 Standard error 44 4765 Observations 30 ANOVA d f SS EM F Meaning F Regression 1 171062 9193 171062 9193 86 4759 0 Residual 28 55388 4309 1978 1582 Total 29 226451 3503 Coefficients Standard error T statistics P value Inferior 95 95 superior Intercept 95 0614 26 9183 3 5315 0 0015 150 2009 39 9218 Descargar 3 7297 0 4011 9 2992 0 2 9082 4 5513 1) State the regression equation 2) What is the correct interpretation of the slope coefficient 3) Predict revenue when the number of downloads is 30,000 4) What is the correct interpretation of the coefficient of determination R squared 5) The 95 confidence interval estimate for the population slope is , 6) Is there sufficient evidence that revenue and the number of downloads are linearly related at the 5 significance level Give a reason why

Question: A software developer would like to use the number of downloads (in thousands) to predict the amount of revenue (in hundreds of dollars) that they

A software developer would like to use the number of downloads (in thousands) to predict the amount of revenue (in hundreds of dollars) that they can earn from the full version of the new shareware. Answer the following questions based on the regression analysis below.

regression statistics
Multiple R	0.8691
R Plaza	0.7554
adjusted r squared	0.7467
Standard error	44.4765
Observations	30

ANOVA
	*d.f.*	SS	EM	F	*Meaning F*
Regression	1	171062.9193	171062.9193	86.4759	0
Residual	28	55388.4309	1978.1582
Total	29	226451.3503

	*Coefficients*	*Standard error*	*T-statistics*	*P value*	*Inferior 95%*	*95% superior*
Intercept	-95.0614	26.9183	-3.5315	0.0015	-150.2009	-39.9218
Descargar	3.7297	0.4011	9.2992	0	2.9082	4.5513

1) State the regression equation.

2) What is the correct interpretation of the slope coefficient?

3) Predict revenue when the number of downloads is 30,000.

4) What is the correct interpretation of the coefficient of determination R squared?

5) The 95% confidence interval estimate for the population slope is ______ , ______.

6) Is there sufficient evidence that revenue and the number of downloads are linearly related at the 5% significance level? Give a reason why.

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