Continuation F: The equation of the linear regression line is? Y=-+-x please show answers to two decimal places G: Use the model to predict the percent of seeds that sprout if the plant produces 57 seeds.H: Interpret the slope of the regression line in the context of the equation I: Interpret the y intercept in the context of the question

A biologist looked at the relationship between number of seeds a plant produces and the percent of those seeds that sprout. The results of the survey are shown below. Seeds Produced | 50 53 52 57 47 53 43 45 Sprout Percent 72 57.1 72.4 60.9 69.9 66.1 74.1 76.5 a. Find the correlation coefficient: 7 Round to 2 decimal places. b. The null and alternative hypotheses for correlation are: Ho: ? v = 0 H1: ? v 7 0 The p-value is: (Round to four 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. There is statistically significant evidence to conclude that a plant that produces more seeds will have seeds with a lower sprout rate than a plant that produces fewer seeds. There is statistically insignificant evidence to conclude that there is a correlation between the number of seeds that a plant produces and the percent of the seeds that sprout. Thus, the use of the regression line is not appropriate. There is statistically significant evidence to conclude that there is a correlation between the number of seeds that a plant produces and the percent of the seeds that sprout. Thus, the regression line is useful. There is statistically insignificant evidence to conclude that a plant that produces more seeds will have seeds with a lower sprout rate than a plant that produces fewer see 1. 7-2 = (Round to two decimal places) e. Interpret 72 : 59% of all plants produce seeds whose chance of sprouting is the average chance of sprouting. O Fi