Multiple linear regression: Plot a straight line with confidence intervals

Multi tool use
Multi tool use


Multiple linear regression: Plot a straight line with confidence intervals



Here is my question:



1) I ran a multiple linear regression: suppose like:


lm(attitude~quality+price+location+Income)



I mainly care about the relationship between attitude and quality, and other variables are control variables.



2) Then I wanted to do a scatter plot between attitude and quality. It is easy:


Q <-ggplot(data=data, aes(x=quality, y=attitude))
Q + geom_point(size = 1)



3) I further wanted to plot the fitted line between x and y, and the slope should be the partial regression coefficient from the multiple linear regression. That is, it should be the b1 in the following formula: attitude=b1*quality+b2*price+b3*location+b4*Income, rather than the b in the following formula: attitude=b*quality. Therefore, the following code does not work correctly, as it will plot the slope of b rather than b1.


g <- g + geom_smooth(method = lm)



Someone asked a very similar question, see here



The answer provided looks like this (replaced with my variables):


g <- g + geom_smooth(data=data, aes(x=quality, y=attitude, ymin=lcl, ymax=ucl))



However, this is a LOWESS plot (as you can see the figure posted in the post), not a linear straight line plot.



My question: how can I add a straight line of slope b1, with confidence interval band?





Maybe sjPlot package has some convenient functions: Plotting Marginal Effects of Regression Models
– Henrik
Jul 3 at 6:50


sjPlot





Welcome to StackOverflow! Please read the info about how to ask a good question and how to give a reproducible example. This will make it much easier for others to help you.
– Axeman
Jul 3 at 9:49





This question gives the exact code needed to this, except that it concerns a glm instead of lm, so I'd say close enough for a duplicate?
– Axeman
Jul 3 at 11:13






Hi (1) Thanks zx8754's edit. (2) Thanks Axeman's link and comment, but I can not understand their question and code very well. (3) Thanks Henrik's link. The sjPlot works, and I wrote the following code: plot_model(fit, type = "pred", terms = "quality", show.data = TRUE). I have a following question for that: is it possible to add a layer to use the geom_label_repel, as I wanted to show the label for the points on the scatter plot. It seems the plot_model does not allow to add this layer: geom_label_repel(aes(x=quality, y=attitude, label = Region)), even though I can do it in ggplots.
– Will
Jul 3 at 21:13






@Will You may have a look at the related ggeffects package if you 'only' want to grab the relevant data and then customize the plots yourself.
– Henrik
Jul 4 at 12:27



ggeffects









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