in your own words, explain what a correlation is and when we would need to use one.What type of result would give us a strong relationship? What kind of result would give us a weak relationship?
Q: correlation
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Q: initial ideas about Correlation
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Q: type of correlation
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A: Here we want solution.
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in your own words, explain what a
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- If the correlation between variable X and variable Y is perfect, what do you know about the prediction?Data from a certain city shows that individuals with more pets tend to have lower blood pressure (BP). From this information alone, we can say that pet ownership and BP are negatively (inversely) correlated. This may or may not be a causal relationship. pet ownership and BP are not related. pet ownership causes BP to be lower. pet ownership and BP are positively related. This may or may not be a causal relationship. 000For this project you will collect at least 10 pairs of quantitative data and conduct a hypothesis test for linear correlation and also give the best predicted value of y for a given value of x. Below is my example:(you can't use my example, you have to come up with your own) I am collecting data to see if there is correlation between a person's age and how many hours they use the phone I will also give the best predicted value for a person who is 40 years old. My data age hours 19 7.3 25 6.5 31 4.6 18 3.2 25 5.2 27 2.9 26 3.7 39 6.5 47 4.1 55 3.9 A)l will test the claim that there is no correlation (start with the Claim and finish with the conclusion) C: Ho HA etc B) will give the best estimate for how many hours a person who is 35 years old uses the phone. (make sure to use the write y and x and include the P value in your answer and decide if you will plug in x or find the average of the y's) The P value is (big/small) so I have to (either give the average of the y's or plug in the x…
- How would the value of the correlation coefficient change Fuel efficiency, measured in miles per gallon, is a measure often considered by shoppers looking for a new car. The scatterplot shows the vehicle weight of 15 car models in pounds, plotted against their highway fuel efficiency. if the car weights were recorded in kilograms, rather than pounds? The value of the correlation coefficient would increase. The value of the correlation coefficient would Fuel Efficiency decrease. The value of the correlation coefficient would not 45 change. The value of the correlation coefficient could increase or decrease, depending on the new scatterplot. 27 20 2 2.5 3 3.5 4 4.5 5 55 6 Car Weiaht (Thousands of Pounds) Fuel Efficiency (Miles per Gallon)You calculate a correlation coefficient of -0.8 for the two characteristics of eating a particular fruit and having a particular level of blood cholesterol. What can you conclude? There is not enough information in this question to provide an answer. The more of this fruit you eat, the lower your blood cholesterol will be. There is no correlation between eating this fruit and having a particular level of blood cholesterol. The more of this fruit you eat, the higher your blood cholesterol will be. There is a correlation between eating this fruit and having a particular blood cholesterol, but the value of 0.8 is too low to draw any conclusions.As you learned in your text, correlation is often presented as causation. In other words, the cause is attributed to a variable when there is no causal relationship but only a correlation between the two variables. Find problems from the Aviation field that involve correlations, and select one to use for this discussion. Explain how correlation might be interpreted inappropriately as causation. Also, provide the possible explanations for the correlation
- In general, a zero correlation means as the values of one variable increase, there is a tendency for the values of the other variable also to increase. as the values of one variable increase, there is a tendency for the values of the other variableto decrease. as the values of one variable increase, there is no tendency for the values of the other variable to change in any consistent, predictable fashion. as the values of one variable decrease, there is a tendency for the values of the other variable also to decrease.In general, if two variables are strongly associated, does it follow there must be a cause and effect relationship between them? ExplainExplain what correlation is and why two variables might be described as having a negative correlation. Age and education: A survey of U.S. adults showed that there is a negative correlation between age and education level. Does this mean that people become less educated as they become older? why or why not?
- What would be the effect of an "outlier " on a correlation /regression analysis ? It will tend to decrease the strength of a relationship only if the relationship is direct . It will tend to increase the strength of a relationship only if the relationship is positive. It will tend to increase the strength of a relationship . It will tend to decrease the strength of a relationship .A phrase often repeated in this class is "correlation is not causation". Which of the following best describes what this phrase means? Correlation is not causation means that just because two values appear to be related on a graph doesn't mean that one necessarily causes the other. Correlation is not causation means that when we see values that move together (e.g. ice cream sales and murder rates), we can assume that one must be causing the other. Correlation is not causation means that if values move in opposite directions (e.g. average temperature goes down and grades go up), we can assume that one must influence to the other. O Correlation is not causation means that when values are shown to be related in a graph, this is proof that they are not causal.How is correlation defined?
