Answered: To evaluate whether or not average life…

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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To evaluate whether or not average life satisfaction self reported by residents of 119 nations was predictable from each nations’ GNP per capita, a bivariate linear regression was performed. Because of the small N (only 119 countries), the distributions of scores on GNP and life satisfaction did not correspond closely to an ideal normal distribution. The result of the overall regression equation was, F(1, 117) = 3.77, p = .067. Based on these results, what can the researcher conclude?

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The prediction model was not statistically significant at the conventional a = .05 level; each nations’ GNP per capita cannot predict average life satisfaction

The prediction model was statistically significant at the conventional a = .05 level; each nations’ GNP per capita predicts average life satisfaction

The prediction model was not statistically significant at the conventional a = .05 level; each nations’ GNP per capita predicts average life satisfaction

The prediction model was statistically significant at the conventional a = .05 level; each nations’ GNP per capita cannot predict average life satisfaction

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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