Use the following situation to answer questions 14 to 18 below: A meteorologist wants to see if there is a relationship between the number of toronados that occur each year and the number of deaths attributed to the tornadoes. The data are shown for 10 recent years. The number of tornados is represented by x, and the numb
If the coefficient of correlation is 0.6, the percentage of variation in the dependent variable explained by the variation in the independent variable is a. 6% b. 36% c. 60% d. any positive value e. 18%
Please see the attached file. 10. An agronomy study was performed to compare the yield (in kg/ha) of Sundance winter wheat and Manitou spring wheat under the same conditions. Listed below are actual yields of both varieties of wheat from nine test plot locations. Using a 5% significance level, is there statistically suffici
A. What is the relationship between the sign of the correlation coefficient and the sign of the slope of the regression line? b. As the value of the correlation coefficient increases from 0 to 1, or decreases from 0 to -1, how do the points of the scatter plot fit the regression line? c. In your own words, state the prim
I am not understanding how to do this question as I am still trying to grasp an understanding of the material. I came across these questions at the end of the chapter: 1) Does correlation equal causation? Why or why not? 2). What is the relationship between correlation and association?
(a) How does correlation analysis differ from regression analysis? (b) What does a correlation coefficient reveal? (c) State the quick rule for a significant correlation and explain its limitations. (d) What sums are needed to calculate a correlation coefficient? (e) What are the two ways of testing a correlation coefficient
A popular, 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 this test and performance in college. We have chosen a random sample of fifteen students just finishing their first year of college, and
45. Nielsen Media Research provides two measures of the television viewing audience: a television program rating, which is the percentage of households with televisions watching a program, and a television program share, which is the percentage of households watching a program among those with televisions in use. The following d
Can you provide an example using your own data set (two related and unrelated variables) of at least twenty numbers each and apply the formula of correlation. Determine the correlation of each of the two sets of data. Is the correlation positive or negative? Can you explain what this means? Can you explain the difference bet
1) Does correlation equal causation? Why or why not? 2). What is the relationship between correlation and association? Please provide detailed explanation.
1. Does the strength of the correlation depend on the direction of the correlation ( + or -)? 2. How does linear regression relate to straight lines in algebra (slope, y-intercept, x and y)? 3. In regression, x predicts y. Does x cause y to happen? 4. What is the difference between the independent and dependent variabl
A study was conducted with alpha = 0.05 to determine if there is a significant linear correlation between the number of credit hours earned at the time of taking statistics 101 and the grade in the course. Eight pairs of data were collected. The linear correlation coefficient is y = 0.6777 Pick the correct answer a. T
Estimate a correlation coefficient for the following: SUBJECT X Y 1 1 8 2 2 7 3 5 5 4 2 4 5 6 5 6 1 3 7 5 4 8 5 8 9
The correlation between the returns on Ceramics Craftsman, Inc., and the returns on the S&P 500 is 0.675. The variance of the returns on Ceramics Craftsman, Inc., is 0.004225, and the variance of the returns on the S&P 500 is 0.001467. What is the beta of Ceramics Craftsman stock?
1. What statistic do you use to precisely describe a correlation? 2. Why is the regression line "the line of best fit"? 3. What are the properties of Z scores and the Z distribution? 4. Why do you study samples and not populations?
We must use common sense when we analyze data and discover correlation exists. A large value for a correlation coefficient does not necessarily mean that real correlation exists. One of the classic examples is the study that discovered a high correlation between the increased use of illegal drugs by high school students and th
A sample of 20 countries has been randomly selected. Attached is a chart indicating the literacy rate, population, and GDP for each country. Compute the correlation among the variables. In other words, find the correlation between: literacy and population, literacy and GDP, and population and GDP. At the .05 significance lev
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 co relational research. Name a variable from this study and one from the workplace that might prove to provide a co relational relationship and explain why you would
The total population of car passengers involved in traffic accidents are classified into six categories: two factors (one with 2 levels and one with 3 levels) crossed. The first factor is: Survivors (X1=0), Fatalities (X1=1). The second factor is: No Belt (X2=0), Adult Belt (X2=1), and Child Seat (X2=2). The proportions are as f
See the attached file for full problem description. In Display the data in a scatter plot. Then find the sample correlation coefficient r. Determine whether there is a positive linear correlation, a negative linear correlation, or no linear correlation between the variables. What can you conclude? The annual per capita sug
Please help with the following problems. 1. Describe the correlation in this graph (see graph in attachment) 2. Which of these is true for the correlation coefficient? - its range is [-1 1] - we use r to represent it - we use r^2 to represent it - both 1 and 2 - both 1 and 3 3. Indicate whether the random variabl
A sample of eight observations of variables x and y is shown below: x 5 3 7 9 2 4 6 8 y 20 23 15 11 27 21 17 14 Also, Correlation of x and y = -0.991 i) Calculate and interpret the coefficient of determinations (Rxy2 and Ryx2 ) ii) How is the value of the correlation coefficient ryx affected
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 corr
1.What is correlation? What are the different types of correlation? Why is it important to determine correlation? 2. How is the strength of a correlation determined?
You're in a brainstorming session at WidgeCorp, where no idea is too outrageous. You're discussing penetration in the school lunch market. Ideas around school lunch subsidies, Internet subsidies, and Internet target marketing are being discussed. As the end of the meeting, the group asks you to prove or disprove some assumptions
There is a correlation between income and education. We find that people with higher income have more years of education. GIVE A STATISTICAL EXAMPLE OR EQUATION OF THIS: When we know there is a correlation between two variables, we can make a prediction. If we know a group's income, we can predict their years of education.
A movie studio wishes to determine the relationship between the revenue from rental of DVDs and videotapes of comedies and the revenue generated from the theatrical release of such movies. The studio has the following bivariate data from a sample of fifteen comedies released over the past five years. These data give the revenue
? Open the S Using the hypothesis testing procedure in the course text, select any two appropriate variables from the Howell data set. ? Retrieve the descriptive statistics for each of the nine project variables in spss121017.doc. Select the variables that you will use to perform your SPSS analysis this week. Using the varia
1. What information is provided by the sign (= or -) of the Pearson correlation? 2. What information is provided by numerical value of the Pearson correlation? 20. What is the major distinction between the Pearson and Spearman correlations? 10a. A professor obtains SAT scores and freshman grade point averages (GPAs) for a
? Explain how correlation is often miscast as causation. Specifically, as it relates to how cause is attributed to a variable when in fact, there is no causal relationship but only a correlation between the two variables. ? Give an example of correlations. ? Using the example, describe how correlation might be interpreted i