The accompanying table shows the ages (in years) of 11 children and the numbers of words in their vocabulary. Complete parts (a) through (d) below.Click here to view the data table. Click here to view the table of critical values for the Pearson correlation coefficient.r= 0.973(Round to three decimal places as needed.)(c) Describe the type of correlation, if any, and interpret the correlation in the context of the data.There is a strong positive linear correlation.Interpret the correlation. Choose the correct answer below.O A. Aging causes the number of words in children's vocabulary to increase.O B. Based on the correlation, there does not appear to be any relationship between children's ages and the number of words in their vocabulary.C. Based on the correlation, there does not appear to be a linear relationship between children's ages and the number of words in their vocabularyO D. Aging causes the number of words in children's vocabulary to decrease.E. As age increases, the number of words in chjldren's vocabulary tends to increase.F. As age increases, the number of words in children's vocabulary tends to decrease. The accompanying table shows the ages (in years) of 11 children and the numbers of words in their vocabulary. Complete parts (a) through (d) below.Click here to view the data table. Click here to view the table of critical values for the Pearson correlation coefficient....Interpret the correlation. Choose the correct answer below.O A. Aging causes the number of words in children's vocabulary to increase.B. Based on the correlation, there does not appear to be any relationship between children's ages and the number of words in their vocabulary.O C. Based on the correlation, there does not appear to be a linear relationship between children's ages and the nO D. Aging causes the number of words in children's vocabulary to decrease.CE. As age increases, the number of words in children's vocabulary tends to increase.there is a significant linear correlationO F. As age increases, the number of words in children's vocabulary tends to decrease.there is no correlation(d) Use the table of critical values for the Pearson correlation coefficient to make a conclusion about the correlation cbetweenTherefore, theresufficient evidence at the 1% level of significance to conclude thatThe critical value ischildren's ages and the number of words in their vocabulary.(Round to three decimal places as needed.)Clear allCheck answer

Correlation measures the degree and direction of association between two variables.

Answered: The accompanying table shows the ages…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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This question has 6 parts, Thank you.
Please Answer Questions A through C. Correlation table is provided.
In running a Pearson correlation, you notice that there are a few outliers. Please describe the next course of action, if any, for the dataset and explain your reasoning.
The accompanying table shows the earnings per share (in dollars) and the dividends per share (in dollars) for 6 companies in a recent year. Complete parts (a) through (d) below. Click here to view the data table. Click here to view the table of critical values for the Pearson correlation coefficient. (a) Display the data in a scatter plot. Choose the correct.graph below. OA. OB. В. Oc. OD. 3- 9- Q Q 2- 6- 6- 3- 3- 04 3. Eamings per share (S) Eamings per share ($) 0. Eamings per share (S) Eamings per share (S) (b) Calculate the sample correlation coefficient r. - X Data Table (Round to three decimal places as needed.) (c) Describe the type of correlation, if any, and interpret the correlation in the context of the data. Earnings per share, x Dividends per share, y O 1.36 1 There is V linear correlation. 4.3 0.59 3.56 8.27 1.74 2.47 Interpret the correlation. Choose the correct answer below. 1.19 0.67 1.6 2.82 O A. Increases in companies' eamings per share cause their dividends per share…
Fully explain the issues and problems with the below correlational data. Focus on the data in the highlighted box versus the rest of the data. Do not try to explain the data, but rather focus on the statistical issues and problems. IF YOU CAN'T SEE THE IMAGE HERE. PLEASE GO TO THIS LINK Linke 10 6. 8. 7. 5. 4. 10 20 30 40 50 60 70 80 90 100 Age Enjoyment of Hip-Hop
Please answer correctly this 1,2, and 3 questions thank you so much pal!
A university would like to describe the relationship between the GPA and the starting monthly salary of a graduate who earned a business degree from the university. The accompanying table shows the monthly starting salaries for eight graduates of the business school along with their corresponding GPAS. Determine the sample correlation coefficient between the starting salary and the GPA of a business graduate of the university. Click the icon to view the salary and GPA data. Starting salary and GPA data (Round to three decimal places as needed.) Starting Salary GPA Starting Salary GPA 2,500 3.1 3,100 3.7 2,800 3.4 2,900 3.9 2,300 2.6 2,000 2.5 2,600 3.5 2,400 3.2 4o5
What is the best description of the shape of the data below? Bell-shaped Skewed right Skewed left
Please submit the answer via a PDF document or Word document. **Correlational Analysis** Use the following data and scenario to answer the questions. You are interested in whether there is a relationship between the amount of exercise and the number of hours one sleeps. You collect the following data and conduct a correlational analysis to assess if there is a relationship the strength of the relationship. You hypothesize that there is a relationship between the amount of exercise and the number of hours one sleeps. Does the amount of exercise relate to hours of sleep? Is there a strong, moderate, or weak correlation with the following data? Is there a positive or negative relationship? What is the R (Pearson Roe Correlation Coefficient) for the data? Amount of exercising in hours per week Average hours of sleep 6 8 9 10 6 9 4 5 5 4 5 5 5 5 3 3 5 5 4 3 3 3 2 3 2 4 3 4 3 3 4 4 5 6 5 6 6 7 6 7 7 8 7 8 7 8 8 7 0 4 0 4 1 4 2 4…
Based on the scatter plot below on data from Central Harlem, would you estimate the correlation coefficient to be positive, negative, or close to 0? Select the correct correlation and corresponding explanation. Household Income vs. Serious Crime Rate (per 1,000 residents) CentralHarlem Data Scatter Plot: 22- 21- 20- 19- 18- 17 16- 15 32 34 36 38 40 42 Household_Income (thousands) Positive; As the household income increases, the serious crime rate decreases. A. Negative; As the household income increases, the serious crime rate decreases. B. Positive; As the household income increases, the serious crime rate also increases. OC. Negative; As the household income increases, the serious crime rate also increases. D. Close to 0; There is no linear correlation between household income and serious crime rate. E. A Moving to another question will save this response. Question 24 of 25 MacBook Air Serious crime_rate
(b) Calculate the sample correlation coefficient r. (c) Describe the type of correlation, if any, and interpret the correlation in the context of the data. (d) Use the table of critical values for the Pearson correlation coefficient to make a conclusion about the correlation coefficient.
please provide CORRECT answers! Thank you.

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The accompanying table shows the ages (in years) of 11 children and the numbers of words in their vocabulary. Complete parts (a) through (d) below. Click here to view the data table. Click here to view the table of critical values for the Pearson correlation coefficient.