An 86% confidence interval for a correlation
Q: ssume we have met the assumptions of using Pearson's correlation. If we wanted to test whether…
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A: From the provided information, Correlation coefficient (r) = 0.20
Q: What information is provided by the sign (+ or -) of the Pearson correlation? Give an example of a…
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A: The correct option is A Continuous ; continuous
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A: Given data,n=15r=0.50t-statistic=?
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Q: The correlation coefficient equals ___
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A: a) Associated variables: Two variables are associated or related if the value of one variable gives…
Q: Fifty-four wild bears were anesthetized, and then their weights and chest sizes were measured and…
A: Here, Fifty-four wild bears were anesthetized, and then their weights and chest sizes were measured…
Q: A researcher wanted to know if there is a relationship between level of anxiety students have and…
A: Given: α=0.05 p-value =0.027 (sig. (2tailed) in the table). r=-0.691.
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Q: Q4) Assume you administered a test in September and then again in November. You obtained a…
A: Two tests were administrated in September November The correlation coefficient r = 0.55…
Q: Considering the significance test of a correlation coefficient, for a two-tailed test, what is the…
A: State the hypotheses.
Q: When the Pearson correlation coefficient r=-602, then the strength of the correlation is: moderate…
A: The provided information is as follows:The correlation coefficient is .
Q: Spearman's rank correlation coefficient. Explained
A: Spearman correlation coefficient: Definition The Spearman’s rank coefficient of correlation is a…
Q: 3 Using a set of data collected over a period of one year, a researcher assessed the linear…
A: Given: The correlation coefficient r = -0.78 p-value = 0.08 α = 0.05
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A: Decision rule : significant correlation if P-value < α Here P-value = 0.015 < 0.05 = α.
Q: What is the linear correlation, test statistics, and p-value?
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Q: A researcher is trying to determine if there is a significant relationship between age and annual…
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Q: 22) A correlation of -0.9 indicates a __________ relationship between the variables.
A: we know that correlation coefficient (r) always lies between -1 and +1i.e -1≤r≤11)if r=-1 it means…
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A: Pearson correlation -The Pearson coefficient is a type of correlation coefficient that represents…
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A: The correlation coefficient shows a relationship between 2 variables.
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Q: Explain whether there is an association/correlation between salary and age using the data in th
A: Null Hypothesis: H0:There is no association between Age and Salary. Alternative Hypothesis: H1:…
Q: Why should one be cautious when interpreting a correlation?
A: Why should one be cautious when interpreting a correlation?
Q: What Spss analysis to use when wanting to calculate the correlation between variables? H0:There is…
A: Introduction Correlation shows the relationship b/w the variables.
Q: What is the importance of correlation coefficient?
A: Correlation coefficients are used to measure the strength of the relationship between two variables.…
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Q: What does experimental confirmation of a correlation?
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Q: What is the null hypothesis of a test for correlation?
A: Test is that whether correlation is significant i.e whether or not correlation is zero.
Q: interpret this results by testing each correlation hypothesis.
A: Given: Correlation coefficient r=0.005 Hypothesis: Null hypothesis: H0: ρ=0 Alternative hypothesis:…
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Q: hat does a coefficient of correlation of 0.70 infer
A:
Q: For a random sample of households in the US, we record annual household income, whether the location…
A: Explanation: Null hypothesis: H0 : ρ = 0 (There is no relationship) Alternative…
An 86% confidence interval for a
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- If interested in the relationship between height (in inches) and weight (in pounds), which test would be most appropriate? Spearman's correlation Pearson's r correlation Point-biserial correlation Phi correlationAmong a random sample of the stat's census deciles (a small geographic unit), there is a -0.90 correlation (p=.50) between school truancy rates and the rates of alcohol sales to minors. How would you characterize the relationship between truancy and alcohol sales to minors? A. We cannot be confident that there is a relationship between the two variables. B. We have evidence that there is a strong, positive correlation between the two variables. C. We have evidence that there is a strong, negative correlation between the two variables. D. We have evidence that there is a weak, positive correlation between the two variables. E. We have evidence that there is a weak, negative correlation between the two variables.An exercise scientist wants to know if there is a relationship between explosive leg power and standing jump height. To determine if a relationship exists, a group of 30 participants' (N = 30) Leg power was measured by recording each participants' single squat weight max (in pounds). Next, each participant was asked to perform a standing jump and their Jump height was recorded (in meters). Using the variables “Leg power” and “Jump height”, conduct a Pearson's Correlation, at α = 0.05, to determine if leg power and jump height are correlated. Identify the correct null hypothesis A. H0: There is no relationship between leg power and jump height B. H0: There is a relationship between leg power and jump height C. HA: There is a relationship between leg power and jump height D. HA: There is no relationship between leg power and jump height
- An exercise scientist wants to know if there is a relationship between explosive leg power and standing jump height. To determine if a relationship exists, a group of 30 participants' (N = 30) Leg power was measured by recording each participants' single squat weight max (in pounds). Next, each participant was asked to perform a standing jump and their Jump height was recorded (in meters). Using the variables “Leg power” and “Jump height”, conduct a Pearson's Correlation, at α = 0.05, to determine if leg power and jump height are correlated. What does this type of correlation indicate about how leg strength and jump height change together? A. Both leg strength and jump height increase and decrease together B. There is no relationship between leg strength and jump height C. As leg strength increases, jump height decreases D. As jump height increases, leg strength decreasesFifty-four wild bears were anesthetized, and their weights and chest sizes were measured. Results are showing in the graph below. IS there sufficient evidence to support the claim that there is a linear correlation between weights of bears and their chest sizes? When measuring an anesthetized bear, is it easier to measure chest size than weight? If so, does it appear that a measured chest size can be used to predict the weight? Correlation Results Correlation coeff r:0.963141 Critical r ±0.2680855 P-value (two-tailed) 0.000What is the assumption of correlation coefficient?
- Fifty-four wild bears were anesthetized, and then their weights and chest sizes were measured and listed in a data set. Results are shown in the accompanying display. Is there sufficient evidence to support Correlation Results the claim that there is a linear correlation between the weights of bears and their chest sizes? When measuring an anesthetized bear, is it easier to measure chest size than weight? If so, does it appear that Correlation coeff, r: 0.959614 a measured chest size can be used to predict the weight? Use a significance level of = 0.05. Critical r: +0.2680855 P-value (two tailed): 0.000 Но: Р H1:P (Type integers or decimals. Do not round.) Identify the correlation coefficient, r. (Round to three decimal places as needed.) Identify the critical value(s). (Round to three decimal places as needed.) O A. There is one critical value at r= . B. There are two critical values at r= ± Is there sufficient evidence to support the claim that there is a linear correlation between…What are the limitations of using Pearson's correlation coefficient to measure the relationship between two variables?An exercise scientist wants to know if there is a relationship between explosive leg power and standing jump height. To determine if a relationship exists, a group of 30 participants' (N = 30) Leg power was measured by recording each participants' single squat weight max (in pounds). Next, each participant was asked to perform a standing jump and their Jump height was recorded (in meters). Using the variables “Leg power” and “Jump height”, conduct a Pearson's Correlation, at α = 0.05, to determine if leg power and jump height are correlated Interpret r. What type of correlation exists between leg strength and jump height? A. A negative correlation B. No correlation C. A positive correlation D. We cannot know based on the available information
- Using the linear correlation coefficient given above, calculate and give the value of the coefficient of determination. Explain in a sentence what this means in the context of this example, treating gpa as a predictor.When compared with the Pearson correlation, the Spearman correlation coefficient is: Less statistical power when the sample size is <50, True or false?If the value of a correlation coefficient is said to be 0.95 would this be considered a strong negative correlation?