   CMV     OD
1  0.0 0.0850
2  1.2 0.7195
3  6.0 1.4020
4 18.0 2.9190


Call:
lm(formula = CMV ~ OD, data = cmv)

Residuals:
     1      2      3      4 
 1.650 -1.366 -1.102  0.818 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)
(Intercept)   -2.215      1.416   -1.56    0.258
OD             6.645      0.853    7.79    0.016

Residual standard error: 1.8 on 2 degrees of freedom
Multiple R-squared:  0.968, Adjusted R-squared:  0.952 
F-statistic: 60.6 on 1 and 2 DF,  p-value: 0.0161

plot of chunk knit

Best fit (linear regression) line in red and raw data in black.

The association is significant (R² = .952, p=.016).

predictedCMV = -2.215 + 6.645 * OD