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 63 63 58 62 60 42...


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
63635862604269

Sprout Percent
69.154.157.655.45577.455.3



  1. Find the correlation coefficient:  r=r=    Round to 2 decimal places.

  2. The null and alternative hypotheses for correlation are:
    H0:(r or u or p ? )   = 0
    H1:(r or u or p?)≠ 0
    The p-value is:  ?  (Round to 5 decimal places)




  3. Use a level of significance of α=0.05α=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.


    • chose correct answer in question 3






Jun 10, 2022
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