Question: For the cigarette consumption data given in Table 3.2. (a) Give the descriptive statistics for logC, logP and logY . Plot their histogram. Also, plot
For the cigarette consumption data given in Table 3.2.
(a) Give the descriptive statistics for logC, logP and logY . Plot their histogram. Also, plot logC versus logY and logC versus logP. Obtain the correlation matrix of these variables.
(b) Run the regression of logC on logY . What is the income elasticity estimate? What is its standard error? Test the null hypothesis that this elasticity is zero. What is the s and R2 of this regression?
(c) Show that the square of the simple correlation coefficient between logC and logY is equal to R2. Show that the square of the correlation coefficient between the fitted and actual values of logC is also equal to R2.
(d) Plot the residuals versus income. Also, plot the fitted values along with their 95% confidence band.
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