![]() A) Make a scatter plot of the given data. In the case that there are a few outliers (data points that. Below is the table of data regarding the cherry blossom trees in Washington D.C. ![]() Points(x = gender_data$ "Olympic year", y = The line of best fit is determined by the correlation between the two variables on a scatter plot. Fitted line plots are a special type of scatterplot that displays the data points along with a fitted line for a simple regression model. In short, if I have a scatter plot of some data, there are at least three different ways to put a line of best fit through the data. Plot(x = gender_data$ "Olympic year", y = Can anyone help? #Clear out old variables Now I would just like to add two lines of best fit. ![]() I'm getting it to plot on a scatter plot. I have a data set with men's and women's race times on it. ![]()
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