Examples of using Scatter plot in English and their translations into Portuguese
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Described by looking at a scatter plot.
And made a scatter plot of the remains!
Let's say for example we had a scatter plot.
You can do a scatter plot, like you guys will be doing later on.
So, a simple way is to look at a scatter plot.
If you go back at the scatter plot, you would see that's about right.
So, that's best illustrated using a scatter plot.
We could plot a scatter plot where we look at X and the residuals.
And you can see the regression line in the scatter plot.
So this first scatter plot is looking at endurance, related to age.
I'll, I will show you in a scatter plot in a moment.
Figure 1 Scatter plot of stress(upper line) and anxiety measures lower line.
And the best way to do that is to look at the scatter plot.
So lets go back and look at the scatter plot, relating working memory capacity SAT.
Same thing as the linear relationship Look at the scatter plot.
If you go back and look at the scatter plot, you sort of see how we would get that value.
Each pair of correlated variables was plotted in a scatter plot.
The linear regression with scatter plot was generated to evaluate correlations between the variables.
The Wilcoxon test was used for the analysis of the paired data,Spearman's rank correlation coefficient r was used for the correlation analysis, and the scatter plot was analyzed.
There was positive linear trend of the data in the scatter plot, with poor magnitude Figure a.
Why do we have a scatter plot, why do we have a, a regression coefficient, of a thousand?
If we go back and look at the scatter plot, zero isn't even on the Y axis, right?
A scatter plot can suggest various kinds of correlations between variables with a certain confidence interval.
If the residuals are a function of X,so if I did a scatter plot looking at X versus the residuals, and I started to see a relationship, then.
A scatter plot is also very useful when we wish to see how two comparable data sets agree to show nonlinear relationships between variables.
We tested that assumption by plotting a scatter plot and looking to see if there is a linear function, checking for homoscedasticity.
Does the scatter plot look like there's a linear relation, or does it look like it has a more complex function between x and y?
Thus, differentiating central andperipheral regions and using a scatter plot, it was found that there is an relation of the liquidity preference of the public and banks with the results of the state-pronaf credit.
The scatter plot in Figure 2 shows that VO2peak has a moderate inverse correlation with age in both men and women R 0.268, p< 0.001.
Figure 1 shows a scatter plot for number of eggs and rainfall, showing the positive correlation between these variables.