To better understand it I did one example my self. Can somebody explain me this?

> summary(lm(Weight.of.wheat ~ No.of.species))

Call:

lm(formula = Weight.of.wheat ~ No.of.species)

Residuals:

Min 1Q Median 3Q Max

-2122.2 -1563.6 -274.5 1297.2 4454.3

Coefficients:

Estimate Std. Error t value Pr(>|t|)

(Intercept) 3113.60 1127.40 2.762 0.00823 **

No.of.species 18.22 93.49 0.195 0.84632

---

Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 1757 on 46 degrees of freedom

Multiple R-squared: 0.0008252, Adjusted R-squared: -0.0209

F-statistic: 0.03799 on 1 and 46 DF, p-value: 0.8463

In this analysis what does intercept mean. This analysis shows that there is no significance between weight of wheat and No of species. But the intercept is significant. What does that tell about my data?

Thank you