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Is it possible to make a prediction based in a scatter plot with no correlation?
Wiki User
∙ 6y ago
Correlation is an estimate of a linear relationship between two variables and takes no account of non-linear relationship. If the relationship is quadratic and the domain is symmetric about some point, the correlation will be zero. It is, thus possible for the points on the scatter plot to lie exactly on a parabola while the calculated correlation is zero. In such a case, it is easy to make a prediction despite no correlation.
Wiki User
∙ 6y ago
No, it is not possible to make accurate predictions based on a scatter plot with no correlation. A scatter plot with no correlation means that the data points are randomly scattered and do not follow any specific pattern or trend. Without a correlation, it is difficult to establish a relationship between the variables and make reliable predictions.
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What is based on prediction and extrapolation?
random coin flips and exponeous events
Which chart type would be the best candidate to spot trends and extrapolate information based on research data?
A scatter chart would be the best candidate to spot trends and extrapolate information based on research data.
Does the strength of correlation depend on the direction?
Absolutely not. The simplest way to demonstrate this is to consider a measure of agreement - disagreement. If we scored it so that "strongly agree" is 5 and "strongly disagree" is 1, we would get one value of the correlation. If we reverse-scored it, we would get exactly the same value, but with the opposite sign. The strength of the correlation is the same, but the direction of the relation has switched. Another consideration is the fact that the actual strength of the correlation is based on the square of its value. 0.20 squared is 0.04; 0.40 squared is 0.16. A correlation of 0.40 is four times as strong as a correlation of 0.20. But when you square something, you automatically lose the sign. The square of a negative number is positive. So by definition, correlations of the same size but different signs are equal in strength.
Why is it important to know the regression line?
Yes, that is what allows you to predict data values based on the information you have. It also tells you other things about the data set such as the correlation.
When a Hypothesis is supported by data from additional investigation it is?
More likely to be correct. If you are trying to make a prediction then the probability that you will be correct is related to the strength of the hypotheses on which the prediction is based. Assume that the prediction depended on 3 hypotheses all being correct. Each has a probability say 10 to1, 15 to 1, and 3 to 1. Then the probability against all 3 being correct would be ((11 times 16 times 4)-1) to 1.
What type of graph can best help you predict the answer to information you never tested?
A scatter graph on the data you already have, then place a regression line ( line of best fit) across the points and predict the information based on this line. It obviously isn't accurate and is only a prediction and if there is no correlation in the plotted points and no line of best fit can be placed on there can be no prediction made.
How is the value of the correlation coefficient related to the accuracy of the predicated value for a specific value x?
The nearer the absolute value of the correlation coefficient is to 1, the higher the accuracy of the predicted value. At r = 0, any prediction based on the independent variable is inaccurate - to the extent of being a waste of time.The nearer the absolute value of the correlation coefficient is to 1, the higher the accuracy of the predicted value. At r = 0, any prediction based on the independent variable is inaccurate - to the extent of being a waste of time.The nearer the absolute value of the correlation coefficient is to 1, the higher the accuracy of the predicted value. At r = 0, any prediction based on the independent variable is inaccurate - to the extent of being a waste of time.The nearer the absolute value of the correlation coefficient is to 1, the higher the accuracy of the predicted value. At r = 0, any prediction based on the independent variable is inaccurate - to the extent of being a waste of time.
Is a hypothesis a scientific prediction or possible explanation based on reasoning intuition and research?
Yes
What is the purpose of correlation charts in FT-IR?
Correlation charts in FT-IR spectroscopy are used to identify functional groups in a molecule by matching the observed infrared absorption bands to known characteristic absorption frequencies of functional groups. This allows for the interpretation and analysis of the chemical structure of a sample based on its IR spectrum.
Why there is no error analysis in prediction?
Since a prediction is based off of one's thoughts/understanding of the story.
What is a descriptive model based on a prediction?
hypothesis
Making a forecast of what will happen in the future based on past experience or evidence is called?
a prediction!!!
Why is it important to say about wheb making a prediction?
The prediction is based on a trend line that approximates the locations of the related points.
What is the definition of the word prediction?
A prediction is a statement about a future event or outcome based on evidence, experience, or reasoning. It involves forecasting what may happen in the future based on current information or trends.
What is hypothesis and prediction or are the responsible variables?
Hypothesis is more of a scientific guess while prediction is a more of a guess based on experience.
What is another word for prediction based on numbers?
an estimation or an estimate
An explanation for observations based on reasoning from what you already know?
A prediction
