Question
The quadratic regression equation shown below is for a sample of n . Complete parts a through d. = 25 Yi = 6 + 8X
The quadratic regression equation shown below is for a sample of n . Complete parts a through d. = 25 Yi = 6 + 8X + 7.5 1i X2 1i a. Predict Y for . X1 = 4 Y = b. Suppose that the computed test statistic for the quadratic regression coefficient is At the level of significance, is there evidence that the quadratic model is better than the linear model? t STAT 2.64. 0.02 Choose the correct null and alternative hypotheses below. A. H : Including the quadratic effect does not significantly improve the model ( ). 0 = 0 2 H : Including the quadratic effect significantly improves the model ( ). 1 0 2 B. H : There is no overall relationship between X and Y ( ). 0 = = 0 1 2 H : There is an overall relationship between X and Y ( or ). 1 0 1 0 2 C. H : There is an overall relationship between X and Y ( or ). 0 0 1 0 2 H : There is no overall relationship between X and Y ( ). 1 = = 0 1 2 D. H : Including the quadratic effect significantly improves the model ( ). 0 0 2 H : Including the quadratic effect does not significantly improve the model ( ). 1 = 0 2 Determine the critical value(s). Select the correct choice below, and, if necessary, fill in the answer box to choice. (Round to three decimal places as needed.) A. The critical values are . B. The critical value is . Choose the correct conclusion below. A. Reject H . The quadratic term significant. 0 is not B. Do not reject H . The quadratic term significant. 0 is C. Do not reject H . The quadratic term significant. 0 is not D. Reject H . The quadratic term significant. 0 is c. Suppose that the computed test statistic for the quadratic regression coefficient is At the level of significance, is there evidence that the quadratic model is better than the linear model? t STAT 1.25. 0.02 A. Do not reject H . The quadratic term significant. 0 is B. Do not reject H . The quadratic term significant. 0 is not C. Reject H . The quadratic term significant. 0 is not D. d. Suppose the regression coefficient for the linear effect is . Predict Y for 8.0 X = 4. 1 Y =
Step by Step Solution
There are 3 Steps involved in it
Step: 1
Get Instant Access to Expert-Tailored Solutions
See step-by-step solutions with expert insights and AI powered tools for academic success
Step: 2
Step: 3
Ace Your Homework with AI
Get the answers you need in no time with our AI-driven, step-by-step assistance
Get Started