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Psychological Statistics: Correlation Coefficient

Calculate the correlation coefficient using the following values: Question: Is there a correlation between student anxiety scores and number of study hours? Interpret your findings. Caution: The question is missing something? What? Student Anxiety Scores Study Hours 5 1 10

Correlation Coefficients and Data Analysis

Given: The paired sample data of the age of mothers and the weight of their children result in a linear correlation coefficient very close to 0. Conclusion: Older mothers tend to have heavier children. Describe the error in the stated conclusion. A. A linear correlation coefficient very close to 0 implies that there is a

Global Warming Statistics

Below are Global carbon dioxide concentrations and the measured change in Global temperature (Temperature Anomaly) for an 11 year period in our recent past: YEAR CO2 Concentration (ppm) Temperature Anomaly (ºC) 1981 339.93 .043 1982 341.13 .


It appears that there is a significant relationship between cognitive ability and social rank, at least for birds. Bogart, Reader, and Laland (2006) measured social rank and individual learning ability for a group of starlings. The following data represent result results similar to those obtained in the study. Because social ran


I attached two files. 7. The figure below has six scatter diagrams for hypothetical data. The correlation coefficients, in scrambled order, are: -0.85 -0.38 -1.00 0.06 0.97 0.62 Match the scatter diagrams with the correlation coefficients. 9. Find the correlation coefficient for each of the three data sets shown be

Correlation Formula Calculations

1. Use this formula to calculate correlation coefficient for the following data: r= ss(xy)/square root (ss(x) * ss(y) X 2 4 3 4 0 Y 6 7 5 6 3 2. If a sample of size 18 has a linear correlation coefficient, r = -0.5, is there significant reason to conclude that the linear correlation coefficien

Correlation Matrix - Interpretation

100 customers were given a brief interview as they concluded a shopping trip at the Mall of Elbonia (MOE). Among the variables for which data were collected were Variable Description Clothing $ Total dollar amount the customer spent on clothing purchases during the visit Cosmet

correlation related events make sense viewed by the Martian

My favorite Martian landed in western NY recently and made conclusions based on correlations. Which of the following correlation related events make sense? Tell why or why mot. Include information about sign and conclusion. Example: The correlation coefficient between natural disaster and the number of doctors in the area

Bivariate Relationships and Correlation Coefficients

#Part 1 of Question Suppose a social psychologist collects the following data to include as variables from five subjects: their scores on a test measuring the extent to which they trust other people and the number of altruistic acts they performed in the last month. Subject Trust Scores Alt

Significant correlation between women's age and women's weight

Sample size, n: 40 Degrees of freedom: 38 Correlation Results: Correlation coeff, r: 0.5630033 Critical r: ±0.3120061 P-value (two-tailed): 0.00016 Reject the Null Hypothesis Sample provides evidence to support linear correlation Regression Results: Y= b0 + b1x: Y Intercept, b0: 89.71354 Slop

correlation between self esteem and shyness

A researcher finds a correlation between self esteem and shyness is -0.50, which is significant for his sample. Interpret this correlation. What does a correlation coefficient tell us? Why are correlation coefficients useful when assessing reliability? What are the 2 ways in which researchers assess the reliability of th

Diversified Portfolio, Correlation, Interest and Inflation

1) A portfolio with a correlation of +1 is not a well-diversified portfolio. What must you do as an investor to structure a portfolio with negative correlation? 2) What macroeconomic variable do you believe has the greatest impact on interest rates? Inflation? Briefly explain. 3) Compare and contrast the Capital Asset Pri

Significance Levels for baseball data; Spearman's Rank-Order correlation

1. Refer to the baseball data for 2005 on 30 major league teams (see bottom of page). Use a Contingency Table to analyze the relationship between games won and salary. Set up a variable that divides the teams into two groups, those that had a winning season and those that did not. There are 162 games in the season, so define a w

Significance of correlation: T Test..

Correlation and Regression Use these parameters to guide me through the steps in solving this problem. Is there a correlation between the age/year of Car and the value? YEAR, YEARS OLD; VALUE (1000's) 1981, 30, 21 1986, 25, 21 1991, 20,

SPSS Exercise: Correlation, Regression, Discriminant analysis

See attached file. SPSS Exercise Questions If you know how to operate SPSS, the assignment is fairly simple. The instructions are long, because I have included the scenarios as well. All datasets will be automatically entered into the SPSS by access the link below. I just need the measures ran and a synopsis to show class

Correlation between two variables: College GPA vs High School GPA

See attached file. How to find the correlation between two variables and how strong the relationship is and describe the conclusions and reasoning. Find the linear regression equation and if the regression equation should be used for predictive purposes College GPA High School GPA 1.72 28 2.61 3.51 25 3.66 2.45 21 3.24

Comparing Coefficients in Regression Analysis

In multiple regression, the relative size of the coefficients is not important. For example, your company may have a nationwide hiring program that focuses on hiring employees who have graduated from college in the past 3 years, and let's say you want to know what attributes of those graduates has the biggest influence on sales

Provide explanations for each of the correlations

Explanation A.) Regression and correlation are the most used and most abused tools in research. People are often quick to jump to the conclusion that if a relationship exists between two variables, one must cause the other. In reality, there are many reasons why two variables can be related without causality. Give a plausi

Statistics: High correlation between average annual wages and US GNP

Please give your best opinion as needed. In many business and economics applications, we may observe highly correlated variables when each pair of observations corresponds to a particular time period. For example, we would expect a high correlation between average annual wages and the U.S. gross national product (GNP) whe

Correlations of Spending vs Saving, Street cops vs Crime

Give a plausible explanation for the following correlations: a. There is a strong relationship between the amount of money people spend and the amount people save (in other words, people who spend more tend to save more). Does this mean that you can improve your life savings by spending more money? Explain how this correlatio

Correlation of child abuse and later life relationship issues

Discuss something you have witnessed or observed in nature. Discuss the temptation to imply or infer causality and be sure to identify areas of future investigation that might be warranted to determine cause and effect. Note: I was thinking of the correlation of someone abused at a young age and the effects of self-efficacy

Running Head: Probability Distributions

Share the practical applications of the study from the Unit 2 Individual Project. How would the results of this survey be used in the workplace? Briefly describe correlational research. Name a variable from this study and one from the workplace that might prove to provide a correlational relationship and explain why you would