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RNA analysis of wheat genes. Engineers from the Department of Crop and Soil Sciences at Washington State University used regression to estimate the number of

RNA analysis of wheat genes. Engineers from the Department of Crop and Soil Sciences at Washington State University used regression to estimate the number of copies of a gene transcript in an aliquot of RNA extracted from a wheat plant (Electronic Journal of Biotechnology, April 15, 2004). The proportion (x1) of RNA extracted from a cold-exposed wheat plant was varied, and the transcript copy number (y, in thousands) was measured for each of two cloned genes: Mn SuperoxideDismutose (MnSOD) and Phospholipase D (PLD). Letting x1= RNA proportion and x2= 1 if MnSOD, 0 if PLD), consider the second-order model for number of copies (y):

E(y) =0+1x1+2(x1)2+3x2+4x1x2+5(x1)2x2

Consider this as the complete model. Data with a sample size of 36 was used to fit the complete model above using statistical software. This gave an R2value of 0.986.

1. Carry out a test of hypotheses for the overall utility of the model. Use the significance level= 0.05.

2. The researchers also want to determine if transcript copy number (y) is curvilinearly related to the proportion of RNA (x1). Give a reduced model that is nested within the complete model so that the two models can be used to carry out a test to determine if y is curvilinearly related to x1.

3. Give the null and alternative hypotheses for the test in 2.

4. The same data was used to fit the reduced model and it gave an R2value of 0.9858. Carry out the test of hypotheses in (b) at 5% significance level and answer the researcher's question in 2. Show all work.

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