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Given EX = 127, XY = 406, EX² = 3357, IY² = 33202, XXY = 10484 and n = 5. ΣΥ ΣΥΖ 1) The slope of the estimated regression line to 3 decimal places is 2) The intercept of the estimated regression line to 3 decimal places is 3) The standard error of the estimate to 3 decimal places is 4) The standard error of the slope to 3 decimal places is 5) The 90% confidence interval to 3 decimal places is between and 6) Using alpha = 0.05, because the absolute value of the test statistic is O less than the absolute value of the critical value, we fail to reject the null hypothesis and cannot conclude that the population slope is not equal to zero. O less than the absolute value of the critical value, we can reject the null hypothesis and conclude that the population slope is equal to zero. O greater than the absolute value of the critical value, we can reject the null hypothesis and conclude that the population slope is not equal to zero. O greater than the absolute value of the critical value, we fail to reject the null hypothesis and conclude that the population slope is equal to zero.

Given EX = 127, XY = 406, EX² = 3357, IY² = 33202, XXY = 10484 and n = 5. ΣΥ ΣΥΖ 1) The slope of the estimated regression line to 3 decimal places is 2) The intercept of the estimated regression line to 3 decimal places is 3) The standard error of the estimate to 3 decimal places is 4) The standard error of the slope to 3 decimal places is 5) The 90% confidence interval to 3 decimal places is between and 6) Using alpha = 0.05, because the absolute value of the test statistic is O less than the absolute value of the critical value, we fail to reject the null hypothesis and cannot conclude that the population slope is not equal to zero. O less than the absolute value of the critical value, we can reject the null hypothesis and conclude that the population slope is equal to zero. O greater than the absolute value of the critical value, we can reject the null hypothesis and conclude that the population slope is not equal to zero. O greater than the absolute value of the critical value, we fail to reject the null hypothesis and conclude that the population slope is equal to zero.

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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Given EX = 127, XY = 406, EX² = 3357, IY² = 33202, XXY = 10484 and n = 5. ΣΥ ΣΥΖ 1) The slope of the estimated regression line to 3 decimal places is 2) The intercept of the estimated regression line to 3 decimal places is 3) The standard error of the estimate to 3 decimal places is 4) The standard error of the slope to 3 decimal places is 5) The 90% confidence interval to 3 decimal places is between and 6) Using alpha = 0.05, because the absolute value of the test statistic is O less than the absolute value of the critical value, we fail to reject the null hypothesis and cannot conclude that the population slope is not equal to zero. O less than the absolute value of the critical value, we can reject the null hypothesis and conclude that the population slope is equal to zero. O greater than the absolute value of the critical value, we can reject the null hypothesis and conclude that the population slope is not equal to zero. O greater than the absolute value of the critical value, we fail to reject the null hypothesis and conclude that the population slope is equal to zero.
Transcribed Image Text:Given EX = 127, XY = 406, EX² = 3357, IY² = 33202, XXY = 10484 and n = 5. ΣΥ ΣΥΖ 1) The slope of the estimated regression line to 3 decimal places is 2) The intercept of the estimated regression line to 3 decimal places is 3) The standard error of the estimate to 3 decimal places is 4) The standard error of the slope to 3 decimal places is 5) The 90% confidence interval to 3 decimal places is between and 6) Using alpha = 0.05, because the absolute value of the test statistic is O less than the absolute value of the critical value, we fail to reject the null hypothesis and cannot conclude that the population slope is not equal to zero. O less than the absolute value of the critical value, we can reject the null hypothesis and conclude that the population slope is equal to zero. O greater than the absolute value of the critical value, we can reject the null hypothesis and conclude that the population slope is not equal to zero. O greater than the absolute value of the critical value, we fail to reject the null hypothesis and conclude that the population slope is equal to zero.
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