In a simple linear regression analysis, it is found that b1 = 2.556 and s (b1) 4.122. The sample size is n = 22. Conduct an F test for the existence of a linear relationship between the two variables.
Answer to relevant QuestionsUsing the definition of the t statistic in terms of sums of squares, prove (in the context of simple linear regression) that t2 = F. What are the purpose and meaning of the error term in regression? A regression was carried out aimed at assessing the effect of the offer price of an initial public offering (IPO) on the chances of failure of the firm issuing the IPO over various time periods from the time of the offering ...1. Carry out the regression and find the β for the stock. What is the regression equation? 2. Does the value of the slope indicate that the stock has above-average risk? (For the purposes of this case assume that the risk ...A multiple regression of price versus the independent variables quality, industry, category, and quality X industry and quality X category was carried out. The R2 was 67.5%. The t statistic for each variable alone was ...
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