Interpreation of fitlm results

Hi! I used the fitlm() to get some values of a linear regression, and I got the following results:

Linear regression model:        
    y ~ 1 + x1        
        
Estimated Coefficients:        
                   Estimate      SE        tStat       pValue          
                   ________    _______    _______    __________        
        
    (Intercept)     10.035     0.55554     18.064    2.2246e-08        
    x1             -2.3583     0.18476    -12.765     4.542e-07        
        
        
Number of observations: 11, Error degrees of freedom: 9        
Root Mean Squared Error: 0.315        
R-squared: 0.948,  Adjusted R-Squared 0.942        
F-statistic vs. constant model: 163, p-value = 4.54e-07

What is the difference between the Intercept values and X1?(I know it must be a very simple answer, but I am getting confused in it...)

Thank you!

Answer 1

[Star Strider]

Put simply, the ‘Intercept’ is the y-axis intercept of the line, and *‘x1’*is the slope of your simple linear regression.

So:

y = -2.3583*x + 10.035;

would define the regression line.