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2. (20 pts) Suppose that a researcher is interested in how variables such as CONCENTRA- TION and STRAIN in an environment affModel log (Ceriodaphnia) Concentration + Strain Coefficients: Estimate Std Error (Intercept) 4.4546 0.0391 Ceriodaphnia -1.54(b) After dropping the regressor variable ConcentraTiON, we run a regression again It is called a reduced model. Let Np and N

2. (20 pts) Suppose that a researcher is interested in how variables such as CONCENTRA- TION and STRAIN in an environment affect reproduction of Ceriodaphnia organisms For this purpose, some study was conducted. In the study, the variable CERIODAPH- NIA indicates the number of Ceriodaphnia organisms that are counted in a controlled environments (fixing levels of CONCENTRATION and STRAIN ) in which reproduction occurs among the organisms. The study considers a regression analysis of the loga- rithm of CERIODAPHNIA (for response variable) on CONCENTRATION and STRAIN (for regressors). Here is some output results of the analysis
Model log (Ceriodaphnia) Concentration + Strain Coefficients: Estimate Std Error (Intercept) 4.4546 0.0391 Ceriodaphnia -1.5431 0.0466 Strain -0.2750 0.0484
(b) After dropping the regressor variable ConcentraTiON, we run a regression again It is called a reduced model. Let Np and NR be the predicted number of Cerio- daphnia from the full model and reduced model, respectively. Predict the incre- ment of the log ratio, log(NF NR) when ConcentratiOn increases from x to x and STRAIN is fixed.
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Ansaen GINen mode Concentation St9nain Coefficient Estimate std. Pioic Internet 54 G O-039i 0.ot46 Ceniodaphnia -.53 o.o48 -omumber Stonain henrethe ven oncentnation and of Ceoiodaphnia ais 30 Noco e loeiodaphni a = ff2 strain of find the numben FomLO3NF NR 24N15-.5431) - (0.2754 0)- 1.s43c0.2754 Pi) stömn A trtom above The Concentatiom iS to left at Constant Strain NF fs

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