answer with explanation

There is substantial cross-sectional variation in the number of financial analysts who follow a company. Now a research student ran the following regression model to study the issue: (Analyst following)i = Bo + BiSize; + &i where (Analyst following); = In(1 +the number of analysts following company i) Sizei =In(market capitalization of company i in millions of dollars) Using a randomly selected sample of 50 companies in year 2002, the student obtained the following OLS regression results: Variable Coefficient Standard Error t-Statistic Intercept -.0075 1218 -5.8613 Size .2648 0191 13.8639 R2 =.45 Suppose that all the assumptions of a multiple linear regression model are satisfied. Answer the following questions: (1) After reporting the result, the student realized that the t-statistic for the intercept estimate was actually a typo. Could you help figure it out based on the information in the table? (2) Construct a 95% confidence interval for the slop coefficient of Size. Can you conclude from the confidence interval that B1 = .2 is supported by the data