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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

Multiple choice questions with correlation coefficient

Which of the following statements about the correlation coefficient is incorrect: 1.) 0 <=r<=1 2.) The larger the absolute value of r the stronger the linear relationship between x and y. 3.) r = 0 implies absolutely no relationship between x and y 4.) The coefficient of determination can never be negative 5.) if b1 is

College Drinking and Poor Grades (Correlation)

How does college drinking correlate to poor grades? Please find information that would have nominal definitions and instruments, or other measurement strategies, add reliability and validity in the information you find. Please make sure it identifies the population.

Calculate and test for partial correlation

A researcher is interested in determining the partial correlation between age (X) and attitude towards interracial marriage (X), controlling for place of residence (rural or urban) (W). The researcher finds the following correlations: r sub xy=0.60; r sub xw=0.43; r sub yw=-.70, for N=175. Calculate the partial correlation co

Explaining Correlation

What does it mean to say that a correlation is "strong?" How can we assess the strength of a correlation by looking at a scatter graph of the data? A "strong" correlation is a relative term and depends on the field of study. All things being equal, correlation values above 0.90 or -0.90 can be described as "strong." Again, th

Explain how people's scores on two variables used in calculation

Determining the strength of a correlation is very important to determine how well one variable can predict another. To determine the strength of a correlation, we have to calculate the correlation coefficient, r. Explain how people's scores on two variables can be used to calculate r.

What is meant by illusionary correlations?

What is meant by illusionary correlations? Why is it so difficult for individuals to disprove their beliefs in correlations that are actually false? Please answer in APA format.


What is correlation? How is correlation measured and interpreted? What is an example of a correlation that may involve a third variable?

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