140f 130- 120- 110- 100- 90- 80 70 60 50 40 30 20 10 20 40 60 80 100 120 140 160 180 200 Grip Strength kamine the scatterplot displayed above and choose the most appropriate escription for the relationship between the variables in the plot. independent nonlinear relationship negative association Arm Strength

What type of graph would be appropriate for this data set and why? what is the dependent variable and independent of the experiment? Based on the information provided, which tree is the most important to the environment? Explain your answer

College GPA and Salary. Do students with higher college grade point averages (GPAs) earn more than those graduates with lower GPAs (CivicScience)? Consider the college GPA and salary data (10 years after graduation) provided in the file GPASalary. Develop a scatter diagram for these data with college GPA as the independent variable. PLEASE MAKE SIMPLE GRAPH. What does the scatter diagram indicate about the relationship between the two variables? Use these data to develop an estimated regression equation that can be used to predict annual salary 10 years after graduation given college GPA. At the .05 level of significance, does there appear to be a significant statistical relationship between the two variables? GPA Salary 2.21 71000 2.28 49000 2.56 71000 2.58 63000 2.76 87000 2.85 97000 3.11 134000 3.35 130000 3.67 156000 3.69 161000

KidsFeet Scatterplot Grouped by Sex The KidsFeet dataframe contains data collected on 39 fourth grade students in Ann Arbor, MI, in October 1997. Two of the measurements taken on the children were the length, (length), and width, (width), of their longest foot. Based on the scatterplot shown below, there appears to be a positive linear association between the length and width of a fourth grader's biggest foot that holds even when the child's sex is accounted for. Which of the following lines of code created this scatterplot (except for the title and axis labels)?   ( ) xyplot(length~width, groups=sex, data=KidsFeet) ( ) xyplot(length~width, groups=sex, data=KidsFeet, auto.key=TRUE) ( ) xyplot(width~length,groups=sex,data=KidsFeet, auto.key=TRUE) ( ) xyplot(width~length, data=KidsFeet) ( ) xyplot(width~length,groups=sex,data=KidsFeet) ( ) xyplot(length~width, data=KidsFeet) ( ) xyplot(width~length|sex,data=KidsFeet) ( ) xyplot(length~width|sex, data=KidsFeet)