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Regression Model and Regression Equation MCQ (Multiple Choice Questions) PDF Download
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The MCQ: In the equation y=2*x, expresses the type of relationship; "Regression Model and Regression Equation" App Download [Free] with answers: exact linear relationship, in-exact linear relationship, exact non linear relationship, and in-exact non linear relationship for online certificate programs. Practice Regression Model and Regression Equation Quiz Questions, download Apple e-Book (Free Sample) .
Regression Model and Regression Equation Questions and Answers PDF Download
In the equation y=2*x, expresses the type of relationship
- Exact linear relationship
- In-exact linear relationship
- Exact non linear relationship
- In-exact non linear relationship
Multiple coefficient of determination can be represented by
- A²
- B²
- D²
- R²
By adjusting the sum of squares with respect to their degree of freedom, results in
- Adjusted T²
- Adjusted A²
- Adjusted R²
- Adjusted D²
The higher value of R² is an indication of involvement of having more
- Dependent variable
- Slope coefficient
- Intercept
- Independent variable
If the multiple coefficient of determination (R²) depicts no relationship, its value should be equal to
- -1
- 0
- 1
- -3
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Engineering Mathematics Practice Questions
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Engineering Mathematics MCQ Questions
- In differential equations, which represents a relationship between two
- Laplace transform of function f(t)=1 where t ≥ 0 is
- Inverse Laplace transform of f(s)=4/(s2-2s-3) is
- Unit step function is also known as
- A definite integral that has either or both limits infinite or an integrand that approaches infinity at one or more points in range of integration is called
Regression Model and Regression Equation MCQs Book Questions
- Linear regression model is based upon some assumptions that can be categorized into
- Stability of parameters can be tested by calculating
- In regression model if number of parameters are greater than number of observations to be estimated, then output would be
- Variance of error term in ordinary least square method is assumed to be
- Due to multicollinearity, multiple coefficient of determination R² will become