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.Data tableCritical values for the pearson correlation coefficient(a) Display the dataO A.Age, xVocabulary size, yCritical Values for the163000-2400-1800-1200-Pearson CorrelationCoefficient210359041300The correlation is significant when the absolute value ofis greater than the value in the table.600-220064 60 2Age (year2600a = 0.050.950a = 0.010.9904 6 8years)3680421000.8780.959(b) Calculate the sa28060.8110.91770.7540.875411000.8340.79880.707(Round to three de6.23000.666100.6320.765(c) Describe the ty110.6020.735120.5760.708There is130.5530.684Done0.6610.5320.5140.497Print14150.641Interpret the correla160.623170.4820.606O A. As age incr180.4680.590190.4560.575B. As age increases, the number of words in children's vocabulary tends to decrease.Id---1:48:10PrintDoneVocabulary size

Pearson Correlation Coefficient: OR r = ∑((X - My)(Y - Mx)) / √((SSx)(SSy))

Answered: agus (Ih years) of 11 children and the…

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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A newspaper collected information on schools in its circulation area in order to compare their quality. Two Which is a true statement regarding Springside? measures the newspaper collected for each school, O Springside does not affect the correlation. mean class size and mean score on a statewide O Springside weakens the correlation shown in the scatterplot. reading exam, are shown in the scatterplot. One school in the report, Springside Elementary, is labeled in the graph. O Springside strengthens the correlation shown in the scatterplot. O Removing Springside would increase the value of the correlation coefficient. Comparing Schools 90 Springside 70 60 50 40 Save and Exit Next Submit Mark this and return ContentViewers/AssessmentViewer/Activity# ch hp Mean State Test Score
Choose the best statement to summarize the association shown between hat size and IQ in the scatterplot below. Hat Size O The scatterplot does not show a trend that would indicate an association between hat size and IQ scores. O As hat size increases, IQ scores tend to decrease. O As hat size increases, IQ scores tend to increase. Hat size causes IQ to increase.
Based on the tables can you write or describe a summary for each? Thank you. Descriptive statistics of Sample Characteristics, Drug Use and Mental Health Bivariable Analyses Multivariable Analyses In this study we assess lifetime and recent drug use patterns among 261 heterosexually identified 18- to 25-year-olds through brief street intercept surveys conducted in New York City. Marijuana, hallucinogens, powder cocaine, and ecstasy were the most frequently reported drugs for both lifetime and recent use. Findings further suggest significant differences in lifetime use along the lines of gender, race=ethnicity, and school enrollment for various drugs. Males reported using significantly greater numbers of different drugs compared to females, as did those not enrolled in school compared to school enrollees. These data suggest that illicit drug use in emergent adulthood does not develop in a monolithic manner and synergies must be considered in relation to gender, school enrollment, and…
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…
kindly write legibly and capture the image clear.
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
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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.

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