Given are five observations for two variables, a and y. 3 5 15 17 51 53 43 17 12 Use the estimated regression equation: âŷ = 62.5684 – 2.2807x. a. Compute the mean square error using equation. SSE s2 = MSE n- 2 (to 4 decimals) b. Compute the standard error of the estimate using equation. SSE s = VMSE n- 2 (to 4 decimals) c. Compute the estimated standard deviation of bị using equation. (2; – #)² (to 4 decimals) d. Use the t-test to test the following hypotheses (a = 0.10): Ho: B1 = 0 Ha: B1 +0 Compute the value of the t-test statistic (Enter negative values as negative numbers). (to 3 decimals) 20
Given are five observations for two variables, a and y. 3 5 15 17 51 53 43 17 12 Use the estimated regression equation: âŷ = 62.5684 – 2.2807x. a. Compute the mean square error using equation. SSE s2 = MSE n- 2 (to 4 decimals) b. Compute the standard error of the estimate using equation. SSE s = VMSE n- 2 (to 4 decimals) c. Compute the estimated standard deviation of bị using equation. (2; – #)² (to 4 decimals) d. Use the t-test to test the following hypotheses (a = 0.10): Ho: B1 = 0 Ha: B1 +0 Compute the value of the t-test statistic (Enter negative values as negative numbers). (to 3 decimals) 20
Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter7: Analytic Trigonometry
Section7.6: The Inverse Trigonometric Functions
Problem 91E
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