A pediatrician wants to determine the relation that may exist between a child's height and head circumference. She randomly selects 8 children, measures their height and head circumference, and obtains the data shown in the table. Height Head Circumference. (inches) (inches) 27.5 25.75 26.5 25.25 27.5 26.75 17.3 16.9 17.3 16.9 17.5 17.4 26 27 25 D 17.1 17.3 Click here to see the Table of Critical Values for Correlation Coefficient (d) Determine if a linear relation exists between height and head circumference (Note that the linear correlation coefficient between the height and head circumference of a child is r=0.888) Find the critical value The critical value is (Round to three decimal places as needed.) Does a linear relation exist between height and head circumference? OA. Yes, there appears to be a positive linear association because ris positive and is greater than the critical value. OB. Yes, there appears to be a positive linear association because r is positive and is less than the critical value. OC. Yes, there appears to be a negative linear association because r is negative and is less than the negative of the critical value OD. No, there is no linear association since r is positive and is less than the critical value

A scatterplot is made of the average height (x axis) and average blood temperature (y axis) of 200 different mammals. The correlation is medially positive, approximately around r = 0.6. Human is at the 2 SD below the average on height and approximately 1.2 SD below the average on blood temperature. This implies this point is... Group of answer choices   No answer text provided. on the SD line it is impossible to say with the information given on the regression line

The correlation between midterm and final grades for 300 students is 0.620. If 5 points are added to each midterm grade, the new r will be: a. 0.124 b. 0.57 c. 0.62 d. 0.744

Please round all answers to 2 decimal places. Given the table below, use your calculator to find the Correlation Coefficient x3.44.69.3105.34.9y15.511.220.222.710.814.3 Put your answer here:

The following statement contains an error. Choose the statement that best explains the error. "The correlation between shoe size and height is 0.87 inches" A. Correlation requires that both of the variables be categorical B. When stating the correlation coefficient, one must state whether it is a positive or negative relationship C. This statement does not tell us whether or not shoe size is correlated with height D. When reporting correlation, one does not report units because correlation has no units E. There is no error in this statement

A random sample of college students was surveyed about how they spend their time each week.  The scatterplot below displays the relationship between the number of hours each student typically works per week at a part- or full-time job and the number of hours of television each student typically watches per week.  The correlation between these variables is r = –0.63, and the equation we would use to predict hours spent watching TV based on hours spent working is as follows:             Predicted hours spent watching TV = 17.21 – 0.23(hours spent working) Since we are using hours spent working to help us predict hours spent watching TV, we’d call hours spent working a(n) __________________ variable and hours spent watching TV a(n) __________________ variable. The correlation coefficient, along with what we see in the scatterplot, tells us that the relationship between the variables has a direction that is _________________ and a strength that is ______________________. According to the…

Identifying individuals with a high risk of Alzheimer's disease usually involves a long series of cognitive tests. However, researchers have developed a 7-Minute Screen, which is a quick and easy way to accomplish the same goal. The question is whether the 7-Minute Screen is as effective as the complete series of tests. To address this question, Ijuin et al. (2008) administered both tests to a group of patients and compared the results. The following data represent results similar to those obtained in the study.    7-Minute Screen Cognitive Series 3 11 8 19 10 22 8 20 4 14 7 13 4 9 5 20 14 25 Which statistical test would you select: Answer    H0: Answer H1: Answer What is the coefficient that indicates the strength of the relationship? Answer =Answer What is the standard error? Answer What is the appropriate 95% CI?  [ Answer , Answer ] What is the d-effect size? Answer What is the t-observed? Answer What is the actual p-value? Answer THREE decimal places…

Use the data in the table, which shows the average annual salaries (both in thousands of dollars) for public school principals and teachers in the U.S. for 11 years. Apply what you have learned in the previous tab to complete this graded lab questions. 1. Repeat the steps from tab #1 using this data to construct a scatter plot graph and calculate the correlation coefficient R. (Recall the corelation coefficient is R and not R Teachers y Principalsx 77.8 43.7 78.4 43.8 80.8 45.0 R= 80.5 45.6, 2. Does the R value represent a positive, negative or no correlation between the salaries ol the teachers and principals? As teacher salaries increase, what happens to prinicipal salaries? 10 11 81.5 45.9 84.8 48.2 12 13 87.7 49,3 3. Write the equation of the regression line for the data below. The equation is y= 14 91.6 51.3 52.9 Teachers y 15 16 95.7 54.4 COD 54.2 =D0.5873x-2.0s07o R=0.995, 17 95.7 4. Use the regression equation that you found in exercise #3 to predict the average annual salary…

Please round all answers to 2 decimal places.Given the table below, use your calculator to find the Correlation Coefficient xx 2.6 9.1 8.3 7.9 2.9 4.9 yy 6.2 22.9 24.2 20.1 6.1 15.8 Put your answer here:

For each of the following, indicate whether a correlation is most likely POSITIVE, NEGATIVE or NC (no correlation possible). The number of calories consumed and a person's weight loss The age of a child and the kind of pets owned Number of hours spent partying and GPA The age of a car and its mileage Weekly ice cream sales and weekly average temperature