F the equation of linear regression line is y= _ + _x. G predict the number of books read per year for someone who watches 6 movies per year. H interpret the slope of the regression line in the context of the equation. I interpret the y interception in the context of the question. Please answer question FGHI above

Movies 5 8 7 3 5 9 9 2 7 3 0 Books 8 4 7 5 0 6 8 2 11 10 a. Find the correlation coefficient: T Round to 2 decimal places. b. The null and alternative hypotheses for correlation are: Ho: ? v = 0 H1 : 2 70 The p-value is: Round to 4 decimal places. c. Use a level of significance of o = 0.05 to state the conclusion of the hypothesis test in the context of the study. O There is statistically insignificant evidence to conclude that there is a correlation between the number of movies watched per year and the number of books read per year. Thus, the use of the regression line is not appropriate. There is statistically significant evidence to conclude that a person who watches fewer movies will read fewer books than a person who watches fewer movies. There is statistically significant evidence to conclude that a person who watches more movies will read fewer books than a person who watches fewer movies. There is statistically significant evidence to conclude that there is a correlation between the number of movies watched per year and the number of books read per year. Thus, the regression line is useful. d. 72 (Round to two decimal places e. Interpret 72 : There is a large variation in the number books people read each year, but if you only look at people who watch a fixed number of movies each year, this variation on average is reduced by 66%. O Given any fixed number of movies watched per year, 66% of the population reads the predicted number of books per year. 66% of all people watch about the same number of movies as they read books each year