- How do you describe a scatter plot with no correlation?
- What is a significant correlation?
- How do you know if a scatter plot is weak or strong?
- What is a scatter plot with a positive correlation?
- What does a positive scatter plot mean?
- Why is correlation not significant?
- What is a weak correlation in a scatter plot?
- How do you interpret a correlation coefficient?
- What type of correlation does the scatter plot show?
- What does a strong positive correlation look like?
- Which of the following indicates the strongest relationship?
- How do you read a correlation on a scatter plot?
- How do you describe the correlation of a scatter graph?
- How do you explain correlation?
- How do you explain a scatter plot?

## How do you describe a scatter plot with no correlation?

If the points on the scatter plot seem to form a line that slants up from left to right, there is a positive relationship or positive correlation between the variables.

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If the points on the scatter plot seem to be scattered randomly, there is no relationship or no correlation between the variables..

## What is a significant correlation?

To determine whether the correlation between variables is significant, compare the p-value to your significance level. Usually, a significance level (denoted as α or alpha) of 0.05 works well. … If the p-value is less than or equal to the significance level, then you can conclude that the correlation is different from 0.

## How do you know if a scatter plot is weak or strong?

If variable Y also gets bigger, the slope is positive; but if variable Y gets smaller, the slope is negative. Strength refers to the degree of “scatter” in the plot. If the dots are widely spread, the relationship between variables is weak. If the dots are concentrated around a line, the relationship is strong.

## What is a scatter plot with a positive correlation?

We often see patterns or relationships in scatterplots. When the y variable tends to increase as the x variable increases, we say there is a positive correlation between the variables. When the y variable tends to decrease as the x variable increases, we say there is a negative correlation between the variables.

## What does a positive scatter plot mean?

Introduction to Scatterplots In a scatterplot, a dot represents a single data point. With several data points graphed, a visual distribution of the data can be seen. … If the data points make a straight line going from near the origin out to high y-values, the variables are said to have a positive correlation.

## Why is correlation not significant?

If the p-value is less than the significance level (α = 0.05), Decision: Reject the null hypothesis. Conclusion: There is sufficient evidence to conclude there is a significant linear relationship between x and y because the correlation coefficient is significantly different from zero.

## What is a weak correlation in a scatter plot?

A weak correlation means that as one variable increases or decreases, there is a lower likelihood of there being a relationship with the second variable. … Earthquake magnitude and the depth at which it was measured is therefore weakly correlated, as you can see the scatter plot is nearly flat.

## How do you interpret a correlation coefficient?

High degree: If the coefficient value lies between ± 0.50 and ± 1, then it is said to be a strong correlation. Moderate degree: If the value lies between ± 0.30 and ± 0.49, then it is said to be a medium correlation. Low degree: When the value lies below + . 29, then it is said to be a small correlation.

## What type of correlation does the scatter plot show?

A scatterplot displays the strength, direction, and form of the relationship between two quantitative variables. A correlation coefficient measures the strength of that relationship.

## What does a strong positive correlation look like?

A positive correlation–when the correlation coefficient is greater than 0–signifies that both variables move in the same direction. … The relationship between oil prices and airfares has a very strong positive correlation since the value is close to +1. So if the price of oil decreases, airfares also decrease.

## Which of the following indicates the strongest relationship?

The strongest linear relationship is indicated by a correlation coefficient of -1 or 1. The weakest linear relationship is indicated by a correlation coefficient equal to 0. A positive correlation means that if one variable gets bigger, the other variable tends to get bigger.

## How do you read a correlation on a scatter plot?

You interpret a scatterplot by looking for trends in the data as you go from left to right: If the data show an uphill pattern as you move from left to right, this indicates a positive relationship between X and Y. As the X-values increase (move right), the Y-values tend to increase (move up).

## How do you describe the correlation of a scatter graph?

Scatter plots show how much one variable is affected by another. The relationship between two variables is called their correlation . … If the line goes from a high-value on the y-axis down to a high-value on the x-axis, the variables have a negative correlation . A perfect positive correlation is given the value of 1.

## How do you explain correlation?

Interpreting Correlation CoefficientsA correlation between variables indicates that as one variable changes in value, the other variable tends to change in a specific direction. … In statistics, a correlation coefficient is a quantitative assessment that measures both the direction and the strength of this tendency to vary together.More items…

## How do you explain a scatter plot?

A scatter plot (aka scatter chart, scatter graph) uses dots to represent values for two different numeric variables. The position of each dot on the horizontal and vertical axis indicates values for an individual data point. Scatter plots are used to observe relationships between variables.