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When there are no identifiable trends in a graph it most likely means that there is no relationship between the two variables?
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∙ 12y ago
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∙ 12y ago
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What does it most likely mean if a graph shows no identifiable trends?
No Solution!
Two variables that are likely to be correlated?
Height and Weight.
What are the two types of variables and how do they differ?
The two types of variables are: independent variables and dependent variables.Independent variables are variables (ideally only one or very few per experiment) that the experimenter manipulates in the experiment. For example, if you were testing the effect of temperature on plant growth rates, you would likely have similar plants in similar conditions but in areas with different temperatures. The experimenter is changing the temperature between the groups of plants, so the temperature would be the independent variable.The dependent variables are the effects the independent variable has on the experimental subjects. They are changes not being directly controlled or manipulated by the experimenter. In the above temperature vs. plant growth example, the rate of plant growth would be the dependent variable; it depends on the temperature.
What is definning variables?
A variable is any factor, trait, or condition that can exist in differing amounts or types. An experiment usually has three kinds of variables: independent, dependent, and controlled.
How can there be a correlation between two things even though one does not cause the other?
Let's say we look at the consumption of junk food and heart attacks. What we would see is a correlation. The more junk food you eat the less risk of a heart attack. There is a correlation but is there a cause and effect relationship? Probably not. Young people eat a lot more junk food than older people. And older people are much more likely to suffer from a heart attack. Mathematically this is due to correlation between your x variables. In statistical analysis you usually assume independent variables. In reality thins are much more complicated. If you want to establish true relationships you need to use design of experiments (DoE).
What is the relationship between algae and minnow?
what is the relationship between the algae and minnow
What does it most likely mean if a graph shows no identifiable trends?
No Solution!
What is bubblegum romance?
This type of relationship is likely to be between young people and is likely to be platonic and, metaphorically speaking, sweet.
Is there a relationship between employee satisfaction and absenteeism?
There is a definite relationship between employee satisfaction and absenteeism. Employees who are happy on the job will be more likely to show up to work. Conversely, employees who are dissatisfied with their jobs will be less likely to come in.
Provide an example of a prediction or modelling, based on relationship between two variables employed in the media presented in a misleading way. This will be a chart or table1)What's the apparent message2)What would the clear, accurate message be?
An example of a prediction or model that is presented in a misleading way in the media is a chart or table that shows a strong correlation between two variables, but fails to mention other factors that may be influencing the relationship. The apparent message of this chart or table might be that there is a direct and causal relationship between the two variables, and that changes in one variable will always result in corresponding changes in the other. For example, a chart might show that there is a strong correlation between the amount of time that people spend on social media and their levels of anxiety and depression. The apparent message of this chart might be that social media use directly causes anxiety and depression. However, the clear and accurate message of this chart would be that there is a complex relationship between the two variables, and that other factors may also be influencing the relationship. For example, it is possible that people who are already anxious or depressed are more likely to spend more time on social media, rather than the other way around. The accurate message would be that more research is needed to understand the relationship between social media use and mental health, and that the apparent correlation in the chart does not necessarily indicate a causal relationship.
Two variables that are likely to be correlated?
Height and Weight.
How do you determine whether a relationship shown in a table is a proportional relationship?
A proportional relationship is of the form y = kx where k is a constant. This can be rearranged to give: y = kx → k = y/x If the relationship in a table between to variables is a proportional one, then divide the elements of one column by the corresponding elements of the other column; if the result of each division is the same value, then the data is in a proportional relationship. If the data in the table is measured data, then the data is likely to be rounded, so the divisions also need to be rounded (to the appropriate degree).
How could parasitism have relationship between two humans?
Two human beings are not in parasitism, but more likely in mutualism.
Is there any relationship between size and pitch of a snare drum?
If the drum is larger, most likely that the pitch is lower.
Is there a relationship between personality disorder and anger?
Most likely because anger is an emotion which helps create our personalities.
What is correlation coefficient?
'Correlation coefficient' means a statistic representing how closely two variables co-vary; it can vary from -1 (perfect negative correlation) through 0 (no correlation) to +1 (perfect positive correlation)* * * * *A key piece of information that is left out of the answer by True Knowledge (which casts very serious doubts about its name!) is that the statistic only is a measure of linearrelationship. A symmetric non-linear relationship (a parabola, for example) will show zero correlation but show anyone a graph of a parabola and then try convincing them that there is no relationship between the two variables!A correlation for two variables is a measure of the strength of a linear relationship between them. It is a measure that ranges from -1 (the variables move perfectly together but in opposite directions) to 1 (the variables move perfectly together and in the same direction). A correlation coefficient of 0 indicates no linear relationship between the variables.Two important points to note:Correlation measures linear relationship: not any other relationships. Thus a perfect relationship that is symmetric (y = x^2, for example) will have a correlation coefficient of 0.Correlation coefficient is a measure of association, not of causality. In the UK, ice cream sales and swimming accidents are correlated. This is not because eating ice cream causes swimming accidents not because people recover from swimming accidents by eating ice cream. In reality, both events are more likely on warm days - such as they are!
Your reading an essay on the relationship between education and income the most effective graphic visual in such an essay is likely to be a?
Comparative graph
