Please solve what’s left thank you that sprout based on the number of seeds produced.75% of all plants produce seeds whose chance of sprouting is the average chance of sproutinO Given any group of plants that all produce the same number of seeds, 75% of all of theseplants will produce seeds with the same chance of sprouting.f. The equation of the linear regression line is:# 3O There is a large variation in the percent of seeds that sprout, but if you only look at plantsthat produce a fixed number of seeds, this variation on average is reduced by 75%.g. Use the model to predict the percent of seeds that sprout if the plant produces 51 seeds.Percent sprouting =(Please round your answer to the nearest whole number.)Eh. Interpret the slope of the regression line in the context of the question:O For every additional seed that a plant produces, the chance for each of the seeds to sprouttends to decrease by 0.80 percent.80i. Interpret the y-intercept in the context of the question:O If plant produces no seeds, then that plant's sprout rate will be 96.46.O The best prediction for a plant that has 0 seeds is 96.46 percent.O The y-intercept has no practical meaning for this study.O The average sprouting percentis predicted to be 96.46.F3O The slope has no practical meaning since it makes no sense to look at the percent of the seedsthat sprout since you cannot have a negative number.As x goes up, y goes down.$(Please show your answers to two decimal places)4888F4Rdo LO%5܀F5T

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Please solve what’s left thank you that sprout based on the number of seeds produced.75% of all plants produce seeds whose chance of sprouting is the average chance of sproutinO Given any group of plants that all produce the same number of seeds, 75% of all of theseplants will produce seeds with the same chance of sprouting.f. The equation of the linear regression line is:# 3O There is a large variation in the percent of seeds that sprout, but if you only look at plantsthat produce a fixed number of seeds, this variation on average is reduced by 75%.g. Use the model to predict the percent of seeds that sprout if the plant produces 51 seeds.Percent sprouting =(Please round your answer to the nearest whole number.)Eh. Interpret the slope of the regression line in the context of the question:O For every additional seed that a plant produces, the chance for each of the seeds to sprouttends to decrease by 0.80 percent.80i. Interpret the y-intercept in the context of the question:O If plant produces no seeds, then that plant's sprout rate will be 96.46.O The best prediction for a plant that has 0 seeds is 96.46 percent.O The y-intercept has no practical meaning for this study.O The average sprouting percentis predicted to be 96.46.F3O The slope has no practical meaning since it makes no sense to look at the percent of the seedsthat sprout since you cannot have a negative number.As x goes up, y goes down.$(Please show your answers to two decimal places)4888F4Rdo LO%5܀F5T<6MacBook AirF6Y&7F7U** 00DIIF89F9 €2A biologist looked at the relationship between number of seeds a plant produces and the percent of thoseseeds that sprout. The results of the survey are shown below.Seeds Produced 62 63 56 42 42 52 44 60Sprout Percent 47 42.5 52 66 66 55 54 54a. Find the correlation coefficient: r = -0.87b. The null and alternative hypotheses for correlation are:Ho: p = 0H₁: p0The p-value is: 0.005 (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 contextof the study.#33O There is statistically significant evidence to conclude that a plant that produces more seedswill 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 thenumber of seeds that a plant produces and the percent of the seeds that sprout. Thus, the useof the regression line is not appropriate.There is statistically significant evidence to conclude that there is a correlation between thenumber of seeds that a plant produces and the percent of the seeds that sprout. Thus, theregression line is useful.80F3O There is statistically insignificant evidence to conclude that a plant that produces more seedswill have seeds with a lower sprout rate than a plant that produces fewer seeds.(Round to two decimal places)d. 2e. Interpret ²:O There is a 75% chance that the regression line will be a good predictor for the percent of seedsthat sprout based on the number of seeds produced.O 75% of all plants produce seeds whose chance of sprouting is the average chance of sprouting.O Given any group of plants that all produce the same number of seeds, 75% of all of theseplants will produce seeds with the same chance of sprouting.f. The equation of the linear regression line is:ŷ=O There is a large variation in the percent of seeds that sprout, but if you only look at plantsthat produce a fixed number of seeds, this variation on average is reduced by 75%.g. Use the modelRound to 2 decimal places.$4000F4(Please show your answers to two decimal places)redict the percent of seeds that sprout if the plant produces 51 seeds.%5F5AF6&78:F7***00DIIF8F9F10

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Hello! As you have posted more than 3 sub parts, we are answering the  3 sub-parts(d, e and f).  In…