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MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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Which of the following can cause OLS estimators to be biased? PLEASE EXPLAIN
1. Heteroscedasticity
2. Omitting an important variable
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- If a predictor variable is well correlated with the other predictors, then standard errorof its estimated coefficient must be bigger than a value obtained in the absence ofsuch correlation. (true or false)?arrow_forwardAverage Income 19320 17554 17310 15589 15266 15078 12749 9351 8866 4952 3627 3412 2554 2296 1871 1809 1710 1621 1345 1282 1171 1109 1091 810 585 Average Life Expectancy 76.25 75.3 78.65 75.51 76.19 76.36 73.73 73.9 76.38 71.16 64.19 74.35 57.53 56.64 62.71 57.34 54.98 46.93 52.24 53.44 60.99 57.21 49.99 45.91 60.03 In this practice assignment, you will use spreadsheet regression or the online regression calculator at http://www.alcula.com/calculators/statistics/linear- regression to examine the relationship between average annual income and average life expectancy in a country. This relationship is called the Preston curve. Open QR 8D Spreadsheet_Practice, which gives the average annual income and average life expectancy in 25 low-income countries. Each row corresponds to a country. Use technology (spreadsheet regression or the Alcula website given above) to create a scatterplot and regression equation for the Preston curve data. Round all answer values to the nearest ten thousandth…arrow_forwardMAA MATHEMATICAL ASSOCIATION OF AMERICA webwork / m1401-93-sp21 / chapter_12 /3 Chapter 12: Problem 3 Previous Problem Problem List Next Problem (1 point) Use a scatterplot and the linear correlation coefficient r to determine whether there is a correlation between the two variables. (Note: Use software, and don't forget to look at the scatterplot!) x0.1 1.7 2.3 3.5 4.9 5.76.87.4 8.5 9.2 10.9 11.5 12.3 13.2 14.7 y 13.1 12.2 10.9 10 11.2 7.7 9.8 8.3 5.8 3.8 6 4.7 1.1 1.6 2.2 (a) r = (b) There is OA. a nonlinear correlation between x and y OB. a negative correlation between x and y OC. a positive correlation between x and y OD. no correlation between x and y OE. a perfect negative correlation between x and y OF. a perfect positive correlation between x and y ote: You can earn partial credit on this problem. Preview My Answers Submit Answers pu have attempted this problem 5 times. pur overall recorded score is 50%. pu have unlimited attempts remaining.arrow_forward
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- A certain polymer is used for evacuation systems for aircraft. It is important that the polymer be resistant tothe aging process. Fifty specimens of the polymer were used in an experiment. Twenty‐five were assignedrandomly to be exposed to an accelerated batch aging process that involved exposure to high temperatures for10 days. Question Which Treatment results in the higher mean tensile strength? (Circle One) Aging or No AgingWhich Treatment has the higher variability? (Circle One) Aging or No Agingarrow_forwardProvide an Interpretation for the following SPSS Output: Correlations Total Annual Household Income(in USD) BMI (kg/m2) Total Annual Household Income(in USD) Pearson Correlation 1 -.107 Sig. (2-tailed) .000 N 1750 1750 BMI (kg/m2) Pearson Correlation -.107 1 Sig. (2-tailed) .000 Edit View Insert Format Tools Table 12pt v Paragraph BIUA >arrow_forward
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