Consider the following data for a dependent variable y and two independent variables, x₁ and x₂. X1 X2 30 47 25 51 51 74 36 59 12 94 10 108. 17 40 5 94 y 16 178 112 19 175 7 170 12 117 13 142 76 16 211 me estimated regression equation for these data is y = -18.36827 +2.01019x₁ +4.73781x2. ere, SST = 15,182.9, SSR = 14,052.2, Sb₁ = 0.24712, and Sp₂ = 0.94844. (SST represents the Total Sum of Squares presents the Regression Sum of Squares) a) Test for a significant relationship among X₁, X₂, and y. Use α = 0.05. State the null and alternative hypotheses. O Ho: B1 = B2 = 0 o Ho Bì > B2 H₂: B₁ ≤ B₂ H₂: : One or more of the parameters is not equal to zero. o Ho Bi
Consider the following data for a dependent variable y and two independent variables, x₁ and x₂. X1 X2 30 47 25 51 51 74 36 59 12 94 10 108. 17 40 5 94 y 16 178 112 19 175 7 170 12 117 13 142 76 16 211 me estimated regression equation for these data is y = -18.36827 +2.01019x₁ +4.73781x2. ere, SST = 15,182.9, SSR = 14,052.2, Sb₁ = 0.24712, and Sp₂ = 0.94844. (SST represents the Total Sum of Squares presents the Regression Sum of Squares) a) Test for a significant relationship among X₁, X₂, and y. Use α = 0.05. State the null and alternative hypotheses. O Ho: B1 = B2 = 0 o Ho Bì > B2 H₂: B₁ ≤ B₂ H₂: : One or more of the parameters is not equal to zero. o Ho Bi
Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter1: Functions
Section1.2: The Least Square Line
Problem 8E
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