QUESTION 1 If one variable increases as the other decreases, this is a correlation. QUESTION 2 In general, the fewer hours you study for an exam, the lower your grade. This is an example of a correlation. QUESTION 3 Charles has calculated his Pearson r to be -1.67. This indicates that Charles made a mistake. There is a strong, negative relationship between his two variables. The two variables are only weakly correlated. O The findings are definitely important.

QUESTION 1 If one variable increases as the other decreases, this is a correlation. QUESTION 2 In general, the fewer hours you study for an exam, the lower your grade. This is an example of a correlation. QUESTION 3 Charles has calculated his Pearson r to be -1.67. This indicates that Charles made a mistake. There is a strong, negative relationship between his two variables. The two variables are only weakly correlated. O The findings are definitely important.

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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The following statement contains an error. Choose the statement that best explains the error. "The correlation between shoe size and height is 0.87 inches" A. Correlation requires that both of the variables be categorical B. When stating the correlation coefficient, one must state whether it is a positive or negative relationship C. This statement does not tell us whether or not shoe size is correlated with height D. When reporting correlation, one does not report units because correlation has no units E. There is no error in this statement
Respond to the following questions about Pearson’s correlation. Which is a stronger correlation, r = 0.48 or r = -0.56? Explain.
Please round all answers to 2 decimal places.Given the table below, use your calculator to find the Correlation Coefficient xx 2.6 9.1 8.3 7.9 2.9 4.9 yy 6.2 22.9 24.2 20.1 6.1 15.8 Put your answer here:
What is another possible explanation for this correlational relationship? Since this is just a correlation, we can’t be sure if age causes changes in your field goal percentage. So, what is one possible other explanation that you can come up with for the correlation that you calculated (hint: think about possible "third variable" explanations for this correlation---what other variables or factors might be causing changes in both x and y that could explain this correlation?).
What is another possible explanation for this correlational relationship? Since this is just a correlation, we can’t be sure if age causes changes in your field goal percentage. So, what is one possible other explanation that you can come up with for the correlation that you calculated (hint: think about possible "third variable" explanations for this correlation---what other variables or factors might be causing changes in both x and y that could explain this correlation?).
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The results from a research study indicate that adolescents who watch more violent content on television also tend to engage in more violent behavior than their peers. The correlation between amount of TV violent content and amount of violent behavior is an example of Question 25 options: a positive correlation a negative correlation a correlation near zero a correlation near one
For the following correlations write if they are positive or negative. Please only write either Positive or Negative in the space provided. The higher the number of absences, the lower the grade The less time you spent exercising, the fewer the calories you will burn
Please round all answers to 2 decimal places. Given the table below, use your calculator to find the Correlation Coefficient 9.8 3.3 8.1 7.3 4.2 8.3 9 20.1 15.2 10 19.4 20.6 Put your answer here:
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The following table gives the number of Canadian geese breeding pairs in Northern Quebec. Get the line of best fit and answer the questions below. Year (t = 0 is 1988) Number of breeding pairs 0 115 5 95 6 40 7 35 8 45 9 60 your answers to the nearest hundredth. The correlation coefficient was______ This means that there is a strong______ correlation between the year and the number of geese breeding pairs.