You may need to use the appropriate technology to answer this question. Assume you have noted the following prices for books and the number of pages that each book contains. Book Pages (x) Price (y) A 500 $7.10 B 700 7.60 C 750 9.10 D 590 6.40 E 560 7.60 F 650 7.10 G 475 4.90 (a) Develop a least squares estimated regression line. (Round your numerical values to five decimal places.) = (b) Compute the coefficient of determination. (Round your answer to four decimal places.) Explain its meaning. (Give your answer as a percent. Round your answer to two decimal places.) The value of the coefficient of determination tells us that % of the variability in has been explained by the least squares line. (c) Compute the correlation coefficient between the price and the number of pages. (Round your answer to four decimal places.) Test to see if x and y are related using the t-test. Use = 0.10. State the null and alternative hypotheses. (Enter != for as needed.) H0: Ha: Find the value of the test statistic. (Round your answer to three decimal places.) Find the p-value. (Round your answer to four decimal places.) p-value = What is your conclusion? Reject H0. We cannot conclude that the relationship between x and y is significant. Do not reject H0. We conclude that the relationship between x and y is significant. Do not reject H0. We cannot conclude that the relationship between x and y is significant. Reject H0. We conclude that the relationship between x and y is significant