Given ΣΧ = 120, ΣΥ = 367, ΣΧ2 = 3070, ΣΥ2 = 27517, ΣΧΥ = 9098 and n = 5. 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

Algebra & Trigonometry with Analytic Geometry
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Chapter7: Analytic Trigonometry
Section7.6: The Inverse Trigonometric Functions
Problem 94E
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Given
ΣΧ = 120, ΣΥ = 367, ΣΧ2 = 3070, ΣΥ2 = 27517, ΣΧΥ = 9098 and n = 5.
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
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.
Ogreater than the absolute value of the critical value, we fail to reject the null hypothesis
conclude that the population slope is equal to zero.
Transcribed Image Text:am of... NEXT DEFINITION rd My courses Quicklinks ✓ Image result for sex..... Place Your Order .... Given ΣΧ = 120, ΣΥ = 367, ΣΧ2 = 3070, ΣΥ2 = 27517, ΣΧΥ = 9098 and n = 5. 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 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. Ogreater than the absolute value of the critical value, we fail to reject the null hypothesis conclude that the population slope is equal to zero.
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