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.

Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter7: Analytic Trigonometry
Section7.6: The Inverse Trigonometric Functions
Problem 94E
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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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