[7] (9 points) Data was collected on a response Y vs an independent variable X and a regression was formed. The data are
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[7] (9 points) Data was collected on a response Y vs an independent variable X and a regression was formed. The data are
[7] (9 points) Data was collected on a response Y vs an independent variable X and a regression was formed. The data are as follows: > rbind (Yresp, Xind) 1,11 1,2 1,3 1,4 1,5 1,6 1,7 1,8] [19] [,10] [,11] [,12] [,13] 1,14] 1,15] Yresp 31 34.3 12.8 1.8 26.4 23.1 25.9 4.8 39.2 7.0 16.8 3.5 25.7 12.4 17.7 Xind 44 43.1 17.6 -2.9 32.5 13.5 13.2 2.4 47.4 24.2 8.2 12.1 25.7 -3.1 15.0 (a) Estimate the intercept and slope coefficients, Bo and B1, respectively. (b) Establish a 95% confidence interval for B1. (c) Establish a 95% prediction interval for Y at the fixed value x = 30. !!! You are free to check with canned regression software, but what I want reported are the solutions and the equation components leading to the solutions, where components may be interpreted as the sub expressions in the equations for these statistics and intervals provided in your text. The components of course can be computed using R.
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