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The Model E(y)=β0+β1x1+β2x2+β3x3+β4x4E ( y ) = \beta _ { 0 } + \beta _ { 1 } x _ { 1 } + \beta _ { 2 } x _ { 2 } + \beta _ { 3 } x _ { 3 } + \beta _ { 4 } x _ { 4 }

question 119

Essay

The model E(y)=β0+β1x1+β2x2+β3x3+β4x4E ( y ) = \beta _ { 0 } + \beta _ { 1 } x _ { 1 } + \beta _ { 2 } x _ { 2 } + \beta _ { 3 } x _ { 3 } + \beta _ { 4 } x _ { 4 } was used to relate E(y)E ( y ) to a single qualitative variable, where
x1={1 if level 20 if not x2={1 if level 30 if not x _ { 1 } = \left\{ \begin{array} { l l } 1 & \text { if level } 2 \\ 0 & \text { if not } \end{array} \quad x _ { 2 } = \left\{ \begin{array} { l l } 1 & \text { if level } 3 \\ 0 & \text { if not } \end{array} \right. \right.

x3={1 if level 40 if not x4={1 if level 50 if not x _ { 3 } = \left\{ \begin{array} { l l } 1 & \text { if level } 4 \\ 0 & \text { if not } \end{array} \quad x _ { 4 } = \left\{ \begin{array} { l l } 1 & \text { if level } 5 \\ 0 & \text { if not } \end{array} \right. \right.
This model was fit to n=40n = 40 data points and the following result was obtained:
y^=14.5+3x14x2+10x3+8x4\hat { y } = 14.5 + 3 x _ { 1 } - 4 x _ { 2 } + 10 x _ { 3 } + 8 x _ { 4 }
a. Use the least squares prediction equation to find the estimate of E(y)E ( y ) for each level of the qualitative variable.
b. Specify the null and alternative hypothesis you would use to test whether E(y)E ( y ) is the same for all levels of the independent variable.

Identify and describe the phases of relationship development in LMX theory.
Understand the implications of high-quality and low-quality LMX relationships on organizational outcomes.
Recognize the impact of LMX on follower's behavior and performance within the organization.
Distinguish between in-group and out-group member characteristics according to LMX theory.

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