Question

Statistical analysisof has shown a strong negative correlation between skiing accidents and consumption of ice-cream in...

Statistical analysisof has shown a strong negative correlation between skiing accidents and consumption of ice-cream in a data set of various countries in 2017. Are these statistical findings a proof of causal relationship between these two variables? Explain

0 0
Add a comment Improve this question Transcribed image text
Answer #1

SKi UCic COn ice cxeom Ure ave a SOn a«> COnSUu Vasia. ble mrse cOnSum ckina accidnts and viee versa occt

Add a comment
Know the answer?
Add Answer to:
Statistical analysisof has shown a strong negative correlation between skiing accidents and consumption of ice-cream in...
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for? Ask your own homework help question. Our experts will answer your question WITHIN MINUTES for Free.
Similar Homework Help Questions
  • There is a +75 correlation between eating ice cream and developing cavities. What does this mean...

    There is a +75 correlation between eating ice cream and developing cavities. What does this mean in your own words? Does correlation mean Causation       YES or NO What is the following an example of? As the number of hours spent playing video games increases, the amount of time studying decreases? Positive   or   Negative Correlation Generate your own example of either a Positive or Negative Correlation. For example: as the weather gets colder, people wear more clothes (but then also...

  • QUESTION 6 Suppose the correlation coefficient between two variables is found to be -0.94. Which of...

    QUESTION 6 Suppose the correlation coefficient between two variables is found to be -0.94. Which of the following statements are true? there is a strong tendency for small values of one variable to be associated with large values of the other variable there is a weak negative relationship between the variables a scatter plot of the data points would show a clear downward trend there is a strong tendency for low values of one variable to be paired with low...

  • The data shown in the following scatterplot show a very nice relationship between the two variables....

    The data shown in the following scatterplot show a very nice relationship between the two variables. However, the correlation here is 0.03, very close to zero. Explain why we can have a nice relationship between two quantitative variables and yet have a correlation of O 8 10 14 O There are no outliers but there are influential observations that cause the value of r to be near 0. 0 There are strong outliers that cause the value of to be...

  • Question 29 3 pts A correlation of r = 92 is found between weekly sales of...

    Question 29 3 pts A correlation of r = 92 is found between weekly sales of ice cream and the number of shark attacks. Which of the following are true? Check all that apply. Shark attacks cause the ice cream sales to increase. The number of shark attacks is a lurking variable causing an increase in ice cream sales. There is a strong positive relationship between ice cream sales and shark attacks. Weather is a possible lurking variable that is...

  • 4,5 and 6 please 4) Analysis of data from a statistical study showsa lincar relationship in...

    4,5 and 6 please 4) Analysis of data from a statistical study showsa lincar relationship in the data with a correlation coeflicient of -0.524. Which statement best summarines this resul There is a strong positive corelation between the variables There is a strong negative correlation between he variables There is a moderate positive cornelation beween the variables. There is a moderate negative corelation between the variables 4 5) The scatter plot below represents the relationship between the number of peanuts...

  • Consider a two-dimensional scatterplot representing the relationship between two continuous variables. If the correlation coefficient is...

    Consider a two-dimensional scatterplot representing the relationship between two continuous variables. If the correlation coefficient is -1, then: a. All points lie in a straight line with a slope of -1. b. All points lie in a straight line with an unknown negative slope. c. All points do not lie in a straight line but the best fitting regression line has a slope of -1. d. There is a strong positive relationship between the two variables.

  • 1. construct a scatter plot for the variables 2. compute the value of the correlation coefficient...

    1. construct a scatter plot for the variables 2. compute the value of the correlation coefficient 3. give an explanation of the type nof relationship that exists between the two variables. The explanation should be a short paragraph. In this paragraph inclue the following: *say whether the is a strong positiv elinear correlation, weak positive linear correlation, strong ngative linear correlation, weak negative correlation, or no linear correlation between the two variables. *explain how you can see this from the...

  • sseument Part& Pretected Viei)Word Mailings Review View Help Tell me what you want to do Enable Editing ruses. Unless you need to edit, it's safer to stay in Protected View 1. Two va...

    sseument Part& Pretected Viei)Word Mailings Review View Help Tell me what you want to do Enable Editing ruses. Unless you need to edit, it's safer to stay in Protected View 1. Two variables have a strong negative correlation. Which of the following statements is not true? a. the dependent variable decreases as the independent variable increases b. the trend of the data exhibits an irregular decline c. the line of best fit has a negative slope d. most data points...

  • Battery life has a strong, negative, linear relationship with temperature. If the least-squares regression line using...

    Battery life has a strong, negative, linear relationship with temperature. If the least-squares regression line using xx = temperature explains 90% of the variation in battery life, which of the following must be the correlation, rr, between battery life and temperature? Using the least-squares regression line, y^=−25.5+1.5xy^​=−25.5+1.5x, what is the residual for the data point at (28,19)?

  • Determine if the following statement is true or false. A correlation coefficient close to 1 is...

    Determine if the following statement is true or false. A correlation coefficient close to 1 is evidence of a cause-and-effect relationship between the two variables. The statement is true O A. False. Only a correlation coefficient close to 0 indicates a cause-and-effect relationship between the two variables O B. False. A correlation coefficient should not be interpreted as a cause-and-effect relationship O c. True, but only if all the conditions for correlation are met. False. A correla.on coefficient of 1...

ADVERTISEMENT
Free Homework Help App
Download From Google Play
Scan Your Homework
to Get Instant Free Answers
Need Online Homework Help?
Ask a Question
Get Answers For Free
Most questions answered within 3 hours.
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT