please answer the question

4. In your own laboratory, you have measured a response as a function of concentration of a trial drug compound. You performed three replicates and t the data to a straight line. Call: |m{formula = Response - Concentration} Residuals: Min 10 Median 30 Max -1.33519-0.41737 0.07652 0.25865 1.93345 Coefficients: Estimate Std. Error t value Pr(>|t|} (Intercept) 0.1987 0.2674 0.743 0.464 Concentration 4.0181 0.2873 13.985 3.71e-14'\" Slgnlf. codes: 0 'm' 0.001 '\"' 0.01 "' 0.05 '.' 0.1 " 1 Residual standard error: 0.678 on 28 degrees of freedom Multiple Rsquared: 0.6748, Adjusted R-squared: 0.8703 F-statlstic: 195.6 on 1 and 28 DF, pvalue: 3.713e-14 What assumptions did you make or what aspects of experimental design are important in conducting the above analysis? What might you do to check these assumptions? How might the experiment or the analysis be modied if you are concerned that some of the assumptions etc. are not valid