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3. Which of the following is the estimate (from this sample) of the standard dev sampling distribution of b, the slope of the sample regression line for this relationship? (a) 773.4 (b) 28.60 √13 773.4 145.851 (d) 28.60 (e) √13 S=minitab calculation by 5 since there is no Sigma 4. Which of the following is the best interpretation of the quantity S = 145.851? e I standard deviation

3. Which of the following is the estimate (from this sample) of the standard dev sampling distribution of b, the slope of the sample regression line for this relationship? (a) 773.4 (b) 28.60 √13 773.4 145.851 (d) 28.60 (e) √13 S=minitab calculation by 5 since there is no Sigma 4. Which of the following is the best interpretation of the quantity S = 145.851? e I standard deviation

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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File Size S 76.50 145.851 28.60 +- test 3. Which of the following is the estimate (from this sample) of the standard deviation of the sampling distribution of b, the slope of the sample regression line for this relationship? Chap (a) 773.4 (b) 28.60 (e) R-Sq = 39.4% R-Sq (adj) 33.9% 773.4 √13. 145.851 (c) (d) S=minitab calculation by 5 since there is 4. Which of the following is the best interpretation of the quantity S = 145.851? 28.60 √13 no Sigma Trstandard deviation
Transcribed Image Text:File Size S 76.50 145.851 28.60 +- test 3. Which of the following is the estimate (from this sample) of the standard deviation of the sampling distribution of b, the slope of the sample regression line for this relationship? Chap (a) 773.4 (b) 28.60 (e) R-Sq = 39.4% R-Sq (adj) 33.9% 773.4 √13. 145.851 (c) (d) S=minitab calculation by 5 since there is 4. Which of the following is the best interpretation of the quantity S = 145.851? 28.60 √13 no Sigma Trstandard deviation
Use the following for questions 3-5. A statistically-minded English teacher wonders if she can predict the lengths of essays that her random sample of 13 student papers (all produced by the same word-processing software) students submit on the basis of how large the computer files for the essays are. She selects a regression analysis of her data is given below. Assume all conditions for inference for slope and compares file size (in kilobytes or KB) to the word count for each. A computer have been met. Predictor Constant File Size Terence for Qua S Coef SE Coef -1450.3 76.50 773.4 28.60 145.851 R-Sq= 39.4% T P 0.088 -1.88 2.67 0.0227 R-Sq (adj) 33.9% linear regres +- test
Transcribed Image Text:Use the following for questions 3-5. A statistically-minded English teacher wonders if she can predict the lengths of essays that her random sample of 13 student papers (all produced by the same word-processing software) students submit on the basis of how large the computer files for the essays are. She selects a regression analysis of her data is given below. Assume all conditions for inference for slope and compares file size (in kilobytes or KB) to the word count for each. A computer have been met. Predictor Constant File Size Terence for Qua S Coef SE Coef -1450.3 76.50 773.4 28.60 145.851 R-Sq= 39.4% T P 0.088 -1.88 2.67 0.0227 R-Sq (adj) 33.9% linear regres +- test
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