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?