sorry i couldn't fit the whole question in the photo but here is the rest!: f. The equation of the linear regression line is: y^=?+?x (please show your answer to two decimal places) g. use the model to predict the percent of seeds that's pro if the plant produces 56 seeds.percent sprouting=? (please round your answer to the nearest whole number) h. interpret the slope of the regression line in the context of the question: 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 64 40 48 44 40 41 51 Sprout Percent 41 63 63 53 64 60.5 54.5 a. Find the correlation coefficient: T = Round to 2 decimal places. b. The null and alternative hypotheses for correlation are: Ho: 7 0 = 0 H1: 0 0 70 The p-value is: (Round to four decimal places) c. Use a level of significance of a = 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 a plant that produces more seeds will have seeds with a lower sprout rate than a plant that produces fewer seeds. 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 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. (Round to two decimal places) e. Interpret r2