Call:
lm(formula = force ~ disp + 0, dataset = spring)

Residuals:
         1          2          3          4          5 
-6.616e-14 -1.067e+00  8.667e-01 -1.200e+00  7.333e-01 

Coefficients:
     Estimate Std. Error t value Pr(>|t|)    
disp  50.0667     0.1795   278.9 9.91e-10 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 

Residual standard error: 0.9832 on 4 degrees of freedom
Multiple R-squared: 0.9999,	Adjusted R-squared: 0.9999 
F-statistic: 7.779e+04 on 1 and 4 DF,  p-value: 9.914e-10 


Call:
lm(formula = force ~ disp, dataset = spring)

Residuals:
   1    2    3    4    5 
 0.4 -0.8  1.0 -1.2  0.6 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)    
(Intercept)  -0.4000     0.8485  -0.471     0.67    
disp         50.2000     0.3464 144.915 7.25e-07 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 

Residual standard error: 1.095 on 3 degrees of freedom
Multiple R-squared: 0.9999,	Adjusted R-squared: 0.9998 
F-statistic: 2.1e+04 on 1 and 3 DF,  p-value: 7.245e-07