# Interpreting R summary output

In an assignment, I am provided with the following output from R:

> summary(myfit)
Call:
lm(formula = Blood_pre ~ Heart_wt)

Residuals:
Min      1Q  Median  3Q         Max
-41.655 -29.796  -8.198  27.425  48.161

Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept)    82.413    30.983   2.660  0.02219 *
Heart_wt        5.723     1.779   3.218  0.00819 **
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 33.72 on 11 degrees of freedom
Multiple R-squared: 0.4849,     Adjusted R-squared: 0.4381
F-statistic: 10.35 on 1 and 11 DF, p-value: 0.00819


(I am also given that $n = 13$)

From that above data, I am suppose to suppose to find the equation of the least squares line, of which I know the formula. In that formula, however, there are the variables $SS_{xy}$, $SS_{xx}$, $\bar{x}$, and $\bar{y}$. Without the original dataset, I have no idea how to calculate those variables. Could someone help point me in right direction?

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Think about what the parameter estimates mean in a linear regression. Why do you suppose one is called "intercept"? –  Peter Flom Oct 3 '12 at 23:52
@PeterFlom: I see now why I did not initially see the intercept on the graph, due to how the independent axis is scaled. –  Tim Cooper Oct 4 '12 at 0:00
And that is a good lesson to learn! –  Peter Flom Oct 4 '12 at 0:01