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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

Measures of Association: Covariance and Correlation

See attached file. There are several methods for calculating fuel economy. Go to the Resources section in this syllabus and open the file mileage.xls. The table in the file indicates the mileage, as calculated by owners and by current standards. 1. Compute the covariance. 2. Compute the correlation coefficient. 3. Which

Correlation of body measurement

Please see attachment 3)use a technology tool to find the regression line for each pair in exercise 1 that has a strong correlation 4)use the result of exercise 3 to product the following a)the neck circumference for a man whose weight is 180 pounds b) the abdomen circumference of a man whose hip circumference is 100 ce

Use Excel or Megastat to determine the following Correlation

Use Excel or Megastat to determine the following correlations of analysis: X 2 3 5 5 10 y 6 9 14 16 30 a. Place the Excel or Megastat results here: b. What is the coefficient of correlation? (place in box) c. What is the coefficient of determination? (place in box)

Correlational and comparative data sets: statistical tests and conclusions

Analyze and Report Correlational and Comparative Data Sets · Analyze the following two data sets: [see attached file] · Prepare a report on the two different types of analyses: correlation and comparison, using the questions associated with the two data sets. Address the following for each analysis: o

Rank Correlation for Car Fuel Consumption

Car Fuel Consumption Listed below are the highway fuel consumption amounts (in mi/gal) from cars in three different categories. Use a 0.05 signifiacance level to test the claim that the different car categories have the same median highway fuel consumption. Based on the results, does the number of cylinders appear to affect h

Correlations and T-Tests: Example Problem

A) What does it mean when it is said that two variables have no correlation? B) What is the connection between correlation and the t Test? C) How is the strength of a correlation determined?

Statistics Scatter Diagram

11. Make up a scatter diagram with 10 dots for each of the following situations: (a) perfect positive linear correlation, (b) large but not perfect positive linear correlation, (c) small positive linear correlation, (d) large but not perfect negative linear correlation, (e) no correlation, (f) clear curvilinear correla

Correlation and Regression CPI

The Consumer Price Index (CPI) and Cost of Subway Fare CPI 30.2 48.3 112.3 162.2 191.9 197.8 Subway 0.15 0.35 1 1.35 1.5 2 Identify the following values: (a) explained variation: (b) unexplained variation: (c) total variation: (d) coefficient of determination: (e) standard error of estimate:

Correlation and regression - total variation

Refer to the minitab display obtained by using the paired data consisting of weights (in lb) of 32 cars and their highway fuel consumption amounts (in mi/gal). Along with the paired sample data, minitab was also given a car weight of 4000 lb to be used for predicting the highway fuel consumption amount The regression equation


John, a medical practitioner at a private medical facility, is discussing the problem that one of his patients, Tom, says he has been having with the medication that the doctor has prescribed. It is a new medication and the facility has been asked to gather information about the medication for the manufacturer. At a previous vis

Statistics: Significance level of number of passengers and luggage stored

37. A regional commuter airline selected a random sample of 25 flights and found that the correlation between the number of passengers and the total weight, in pounds, of luggage stored in the luggage compartment is 0.94. Using the .05 significance level, can we conclude that there is a positive association between the two varia

Statistics: Coefficient of correlation, scatter diagram, regrression equation

See attached file for full problems. 1. What is the relationship between the amount spent per week on food and the size of the family? Do larger families spend more on food? A sample of 10 families in the Chicago area revealed the following figures for family size and the amount spent on food per week. See attached file f

Classifying strength of correlation

If +.75 represents a "strong" positive correlation, where does the concept of a "strong" correlation begin? For example, is +.67 a strong correlation? How about .5? How about .42? How about .3?

Significance of Correlation: Conducting a T Test

(a) Make a scatter plot of the data. What does it suggest about the correlation between X and Y? (b) Use Excel, MegaStat, or MINITAB to calculate the correlation coefficient. (c) Use Excel or Appendix D to find t.05 for a two-tailed test. (d) Calculate the t test statistic. (e) Calculate the critical value of ra. (f) Can

Hypothesis tests for Correlation Coefficient

A nationwide standardized test taken by high-school juniors and seniors may or may not measure academic potential, but we can nonetheless examine the relationship between scores on such tests and performance in college. We have chosen a random sample of 105 students just finishing their first year of college, and for each st

Correlation between Artificial Sweeteners and Weight Gain

Do artificial sweeteners cause weight gain? People who use artificial sweeteners in place of sugar tend to be heavier than people who use sugar. Does this mean that artificial sweeteners cause weight gain? Give a more plausible explanation for this association.

Question about Linear Correlation

Do you think there is a correlation between CEO salaries and the degree of success of a company? If you were to take a sample of companies with comparable size, market capitalization, and product category, and plot CEO salaries against the net profit of their respective companies, do you expect to find a linear correlation betw

Statistics: 20 MCQ on ANOVA, correlation, hypothesis testing etc.

Question 1: For an experiment comparing more than two treatment conditions you should use analysis of variance rather than separate t tests because: conducting several t tests would inflate the risk of a Type I error. separate t tests would require substantially more computations . a test based on variances is more sensiti

Statistics Practice problems

11-59. Marketers know that tastes differ in various regions of the country. In the rental car business, an industry expert has given the opinion that there are strong regional preferences for size of car and quotes the following data in support of that view: Region of Count

Statistics Correlations for Absences and Final Grades

1. You are given the following data. Number of Absences Final grades 0 96 1 91 2 78 2 83 3 75 3 62 4 70 5 68 6 56 a. Make a scatter plot for the data. You do not need to turn this in, but based on your scatterplot, does it look like the correlation is significa

Statistics - Smoking and Productivity

How to show a relationship between smoking and productivity, using a correlation coefficient. What would a visual of that formula as a scatterplot diagram look like for smoking and worker productivity.

Correlation coefficient study

In a study, the correlation coefficient for W and X is -0.25. The correlation coefficient for X and Y is 0.20. The coefficient of determination for X and Z is 0.16. The coefficient of alienation for Y and Z is 0.90. Which pair of variables has the highest amount of variance accounted for?

Statistics - Correlation Research

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

Correlation: wish to determine the correlation between the height (in inches) and weight (in pounds) of 21-year-old males... 3. All but one of the following statements contains ... 4. I want to examine the relationship between gas mileage of cars and the engine size ... 8. A statistics student computes the correlation between two variables in her spreadsheet, and finds ...

2. I wish to determine the correlation between the height (in inches) and weight (in pounds) of 21-year-old males. To do this, I measure the height and weight of two 21-year-old men. The measured values are The correlation r computed from the measurements on these males is A. 1.0 B. -1.0 C. near 0 because the heights

Correlation coefficient r

For the following data calculate the correlation coefficient r and make a conclusion about the type of correlation. The number of hours 6 students watched T.V. during the weekend and the scores of each student who took a test the following Monday. Hours spent watching TV, X 0 1 2 3 3 5 Test Scores, Y

Correlation coefficient r

Calculate the correlation coefficient r, letting Row 1 represent the x-values and Row 2 the y-values. Then calculate it again, letting Row 2 represent the x-values and Row 1 the y-values. What effect does switching the variables have on r? Row 1 20 26 34 43 51 69 72 Row 2 165 144 112 180 20