How to show the regression plot in a figure?

290 views (last 30 days)
Weiyan Chen on 28 Nov 2016
Edited: Soumya Saxena on 22 Dec 2016
Plot x vs y, with y plotted as the independent variable. need to find out the slope, y-intercept,t-statistic for the regression plot, p-value for the regression plot and the r^2 value.
x=[1 2 3 4 5 6 7 8 9 10]
y=[4 5 2 7 2 8 10 2 1 5]
KSSV on 29 Nov 2016
Home work...

Soumya Saxena on 21 Dec 2016
Edited: Soumya Saxena on 22 Dec 2016
I understand that you would like to plot a regression plot for the x and y values specified. If y is independent variable and x is dependent variable, you may specify them as follows:
x=[1 2 3 4 5 6 7 8 9 10]
y=[4 5 2 7 2 8 10 2 1 5]
You can define a table containing y as the independant variable and x as the response variable. The "fitlm" function takes the last variable in the table as the response variable by default.
tbl = table(y' , x')
You can then create a linear model as:
mdl = fitlm(tbl,'linear')
You can plot it as:
plot(mdl)
The model generated will have the intercept values along with the t-statistic, p value, degrees of freedom and r squared values.
The documentation of the "fitlm" function can be found at:
The output should be similar to:
mdl =
Linear regression model:
Var2 ~ 1 + Var1
Estimated Coefficients:
Estimate SE tStat pValue
_________ _______ _________ ________
(Intercept) 5.6144 1.9347 2.902 0.019832
Var1 -0.024876 0.35803 -0.069479 0.94631
Number of observations: 10, Error degrees of freedom: 8
Root Mean Squared Error: 3.21
F-statistic vs. constant model: 0.00483, p-value = 0.946

Categories

Find more on Multiple Linear Regression in Help Center and File Exchange

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by