Suppose we build three regression models from a sample size…

Suppose we build three regression models from a sample size of n=24 observations as follows Model 1:  Model 2:  Model 3:  The   is given for each of the three models: Model 1: Model 2: Model 3: Put the adjusted R-squared in order from smallest to largest. Show your work in any of the provided boxes.  

Suppose we are conducting an experiment that measures the pr…

Suppose we are conducting an experiment that measures the pressure of an industrial oven (outcome Y) based upon specific temperatures (predictor X). The temperature is a predictor variable with levels of . Suppose these are the only three temperatures that the oven uses.   Would the most reasonable assignment for the temperature variable be a random effect or a fixed effect?

A multiple linear regression model is constructed as follows…

A multiple linear regression model is constructed as follows: The following R code was generated for a data set with a large sample size (n=100) Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -0.1309 0.2279 -0.574 0.572 x 0.1766 0.2090 0.845 0.408 I(x^2) 0.9755 0.1630 5.985 7.48e-06 *** Which of the following approaches would be considered the best option?