From the given results :
Endpoints used are :
Lower Fitted Bound = 66.451
Upper Fitted Bound = 68.613
Hence option B is correct
we use a person's dad's height to predict how short or tall the person will be by Suppose building a regression...
10. Use the computer to create a prediction interval for the Y for the values of X of your 15th observation (Statistix calls them cases). Interpret this confidence interval. (4 points) Predicted/Fitted values of Rent Lower Predicted Bound Predicted Value Upper Predicted Bound SE (Predicted Value) 8.1160 1404.5 2800.9 694.50 Lower Fitted Bound Fitted Value Upper Fitted Bound SE (Fitted Value) 1094.4 1404.5 1714.6 154.25 Unusualness (Leverage) Percent Coverage Corresponding T. 0.0519 95 2.01 Case number 15 was used to...
Need help with stats true or false questions
Decide (with short explanations) whether the following statements are true or false a) We consider the model y-Ao +A(z) +E. Let (-0.01, 1.5) be a 95% confidence interval for A In this case, a t-test with significance level 1% rejects the null hypothesis Ho : A-0 against a two sided alternative. b) Complicated models with a lot of parameters are better for prediction then simple models with just a few parameters c)...